#Speech and Voice Recognition

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[prachicmi2]

Voice and Speech Recognition Market Driven by AI Integration

The Global Voice and Speech Recognition Market is estimated to be valued at US$ 21.46 Bn in 2025 and is expected to exhibit a CAGR of 23.4% over the forecast period 2025 to 2032.

Voice and Speech Recognition solutions encompass advanced software and hardware systems designed to convert spoken language into text and execute voice commands. These products leverage deep learning algorithms and natural language processing to deliver high accuracy, rapid response times, and seamless integration across devices. Key advantages include hands-free operation, improved productivity in call centers and automotive interfaces, enhanced accessibility for users with disabilities, and reduced human error in data entry. Voice and Speech Recognition Market Insights as enterprises increasingly adopt voice-enabled customer service platforms and smart home assistants, the need for reliable, multilingual recognition engines has grown. Innovations in edge computing and on-device processing further address privacy concerns and network latency, widening the scope for adoption in healthcare, retail, and industrial applications. With mounting emphasis on personalized user experiences and real-time analytics, vendors are investing heavily in model training, contextual understanding, and speaker identification. These efforts are shaping emerging market trends and creating new market opportunities across consumer electronics, automotive, and enterprise software. Get more insights on,Voice and Speech Recognition Market

[precallai]

Integrating AI Call Transcription into Your VoIP or CRM System

In today’s hyper-connected business environment, customer communication is one of the most valuable assets a company possesses. Every sales call, support ticket, or service request contains rich data that can improve business processes—if captured and analyzed properly. This is where AI call transcription becomes a game changer. By converting voice conversations into searchable, structured text, businesses can unlock powerful insights. The real value, however, comes when these capabilities are integrated directly into VoIP and CRM systems, streamlining operations and enhancing customer experiences.

Why AI Call Transcription Matters

AI call transcription leverages advanced technologies such as Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) to convert real-time or recorded voice conversations into text. These transcripts can then be used for:

Compliance and auditing

Agent performance evaluation

Customer sentiment analysis

CRM data enrichment

Automated note-taking

Keyword tracking and lead scoring

Traditionally, analyzing calls was a manual and time-consuming task. AI makes this process scalable and real-time.

Key Components of AI Call Transcription Systems

Before diving into integration, it’s essential to understand the key components of an AI transcription pipeline:

Speech-to-Text Engine (ASR): Converts audio to raw text.

Speaker Diarization: Identifies and separates different speakers.

Timestamping: Tags text with time information for playback syncing.

Language Modeling: Uses NLP to enhance context, punctuation, and accuracy.

Post-processing Modules: Cleans up the transcript for readability.

APIs/SDKs: Interface for integration with external systems like CRMs or VoIP platforms.

Common Use Cases for VoIP + CRM + AI Transcription

The integration of AI transcription with VoIP and CRM platforms opens up a wide range of operational enhancements:

Sales teams: Automatically log conversations, extract deal-related data, and trigger follow-up tasks.

Customer support: Analyze tone, keywords, and escalation patterns for better agent training.

Compliance teams: Use searchable transcripts to verify adherence to legal and regulatory requirements.

Marketing teams: Mine conversation data for campaign insights, objections, and buying signals.

Step-by-Step: Integrating AI Call Transcription into VoIP Systems

Step 1: Capture the Audio Stream

Most modern VoIP systems like Twilio, RingCentral, Zoom Phone, or Aircall provide APIs or webhooks that allow you to:

Record calls in real time

Access audio streams post-call

Configure cloud storage for call files (MP3, WAV)

Ensure that you're adhering to legal and privacy regulations such as GDPR or HIPAA when capturing and storing call data.

Step 2: Choose an AI Transcription Provider

Several commercial and open-source options exist, including:

Google Speech-to-Text

AWS Transcribe

Microsoft Azure Speech

AssemblyAI

Deepgram

Whisper by OpenAI (open-source)

When selecting a provider, evaluate:

Language support

Real-time vs. batch processing capabilities

Accuracy in noisy environments

Speaker diarization support

API response latency

Security/compliance features

Step 3: Transcribe the Audio

Using the API of your chosen ASR provider, submit the call recording. Many platforms allow streaming input for real-time use cases, or you can upload an audio file for asynchronous transcription.

Here’s a basic flow using an API:

python

CopyEdit

import requests

response = requests.post(

    "https://api.transcriptionprovider.com/v1/transcribe",

    headers={"Authorization": "Bearer YOUR_API_KEY"},

    json={"audio_url": "https://storage.yourvoip.com/call123.wav"}

)

transcript = response.json()

The returned transcript typically includes speaker turns, timestamps, and a confidence score.

Step-by-Step: Integrating Transcription with CRM Systems

Once you’ve obtained the transcription, you can inject it into your CRM platform (e.g., Salesforce, HubSpot, Zoho, GoHighLevel) using their APIs.

Step 4: Map Transcripts to CRM Records

You’ll need to determine where and how transcripts should appear in your CRM:

Contact record timeline

Activity or task notes

Custom transcription field

Opportunity or deal notes

For example, in HubSpot:

python

CopyEdit

requests.post(

    "https://api.hubapi.com/engagements/v1/engagements",

    headers={"Authorization": "Bearer YOUR_HUBSPOT_TOKEN"},

    json={

        "engagement": {"active": True, "type": "NOTE"},

        "associations": {"contactIds": [contact_id]},

        "metadata": {"body": transcript_text}

    }

)

Step 5: Automate Trigger-Based Actions

You can automate workflows based on keywords or intent in the transcript, such as:

Create follow-up tasks if "schedule demo" is mentioned

Alert a manager if "cancel account" is detected

Move deal stage if certain intent phrases are spoken

This is where NLP tagging or intent classification models can add value.

Advanced Features and Enhancements

1. Sentiment Analysis

Apply sentiment models to gauge caller mood and flag negative experiences for review.

2. Custom Vocabulary

Teach the transcription engine brand-specific terms, product names, or industry jargon for better accuracy.

3. Voice Biometrics

Authenticate speakers based on voiceprints for added security.

4. Real-Time Transcription

Show live captions during calls or video meetings for accessibility and note-taking.

Challenges to Consider

Privacy & Consent: Ensure callers are aware that calls are recorded and transcribed.

Data Storage: Securely store transcripts, especially when handling sensitive data.

Accuracy Limitations: Background noise, accents, or low-quality audio can degrade results.

System Compatibility: Some CRMs may require custom middleware or third-party plugins for integration.

Tools That Make It Easy

Zapier/Integromat: For non-developers to connect transcription services with CRMs.

Webhooks: Trigger events based on call status or new transcriptions.

CRM Plugins: Some platforms offer native transcription integrations.

Final Thoughts

Integrating AI call transcription into your VoIP and CRM systems can significantly boost your team’s productivity, improve customer relationships, and offer new layers of business intelligence. As the technology matures and becomes more accessible, now is the right time to embrace it.

With the right strategy and tools in place, what used to be fleeting conversations can now become a core part of your data-driven decision-making process.

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[datastring]

Speech And Voice Recognition Market set to hit $35.7 billion by 2035

Industry revenue for Speech And Voice Recognition is estimated to rise to $35.7 billion by 2035 from $11.4 billion of 2024. The revenue growth of market players is expected to average at 10.9% annually for the period 2024 to 2035.

Speech And Voice Recognition is critical across several key applications including automotive, healthcare, consumer electronics and telecommunications. The report unwinds growth & revenue expansion opportunities at Speech And Voice Recognition’s Technology Type, Deployment, Industry Vertical, Application and User Interface including industry revenue forecast.

Industry Leadership and Competitive Landscape

The Speech And Voice Recognition market is characterized by intense competition, with a number of leading players such as Nuance Communications Inc, Google Inc, Microsoft Corporation, IBM Corporation, iFlytek, Baidu Inc, Amazon Inc, Advanced Voice Recognition Systems, Agnitio SL, Apple Inc, Raytheon Company and VoiceBox Technologies Corporation.

The Speech And Voice Recognition market is projected to expand substantially, driven by surge in smart home devices and healthcare innovation. This growth is expected to be further supported by Industry trends like Upsurge in AI integration.

Detailed Analysis - https://datastringconsulting.com/industry-analysis/speech-and-voice-recognition-market-research-report

Moreover, the key opportunities, such as opportunity in healthcare sector, integrating voice assistance in iot devices and revolutionizing customer service operations, are anticipated to create revenue pockets in major demand hubs including U.S., China, Japan, UK and Germany.

Regional Shifts and Evolving Supply Chains

North America and Europe are the two most active and leading regions in the market. With challenges like lack of accuracy in language interpretation and high initial implementation cost, Speech And Voice Recognition market’s supply chain from component manufacturing / sensor & hardware development / software development to integration & application is expected to evolve & expand further; and industry players will make strategic advancement in emerging markets including India, Brazil and South Africa for revenue diversification and TAM expansion.

About DataString Consulting

DataString Consulting offers a complete range of market research and business intelligence solutions for both B2C and B2B markets all under one roof. We offer bespoke market research projects designed to meet the specific strategic objectives of the business. DataString’s leadership team has more than 30 years of combined experience in Market & business research and strategy advisory across the world. DataString Consulting’s data aggregators and Industry experts monitor high growth segments within more than 15 industries on an ongoing basis.

DataString Consulting is a professional market research company which aims at providing all the market & business research solutions under one roof. Get the right insights for your goals with our unique approach to market research and precisely tailored solutions. We offer services in strategy consulting, comprehensive opportunity assessment across various sectors, and solution-oriented approaches to solve business problems.

[medicaltranscriptiontools]

Revolutionizing Medical Transcription with AI Technology

Medical transcription has long been a critical part of the healthcare system, enabling the conversion of doctors' spoken words into written records. These records are essential for patient care, documentation, and billing purposes. However, the traditional methods of medical transcription have faced challenges such as accuracy, time consumption, and the ability to manage large volumes of audio recordings efficiently. With the advent of artificial intelligence (AI) technology, medical transcription is undergoing a significant transformation. AI-powered transcription services, like AccurateScribe.ai, are leading the way in improving transcription accuracy, reducing turnaround times, and increasing efficiency across the medical field.

The Evolution of Medical Transcription

Traditionally, medical transcription was performed by human transcriptionists who listened to recordings of doctors' notes and transcribed them into written documents. While human transcriptionists are highly skilled, the process was time-consuming and prone to errors, especially with complex medical terminology, different accents, and background noise. As the healthcare industry grew, the demand for faster and more accurate transcription services increased, pushing the industry to look for technological solutions.

With the advent of AI-powered transcription tools, the medical transcription landscape has shifted. AI technology, particularly the use of machine learning and speech recognition software, has significantly improved the accuracy of transcriptions, allowing healthcare professionals to obtain written records much faster and with higher precision. AI transcription platforms like AccurateScribe.ai utilize advanced voice recognition algorithms that can accurately transcribe medical terminology, understand different accents, and handle difficult audio conditions.

Benefits of AI-Powered Medical Transcription

Increased Accuracy

One of the most significant advantages of AI transcription is its accuracy. AI-powered platforms are capable of recognizing and transcribing even the most complex medical terminology. Advanced algorithms, such as OpenAI's Whisper technology, have been developed to understand the nuances of medical language and terminology, minimizing human error. AI transcription also adapts to different speakers, ensuring that transcriptions remain accurate across various accents and dialects.

Faster Turnaround Times

In the healthcare industry, time is of the essence. Medical professionals need their notes transcribed quickly to maintain accurate records and provide timely care. AI-powered transcription tools can process audio files much faster than traditional methods, allowing healthcare professionals to access their written records almost instantly. This speed is especially critical in emergency care, where time-sensitive decisions need to be made based on accurate and up-to-date information.

Multilingual Support

In a globalized world, the ability to transcribe medical records in multiple languages is more important than ever. AI-powered transcription services can handle a wide range of languages, allowing medical facilities to serve diverse populations. With over 134 languages supported by platforms like AccurateScribe.ai, healthcare professionals can ensure that their records are accessible to patients from different linguistic backgrounds.

Cost Efficiency

AI-powered transcription can also help healthcare providers save on costs. Traditional transcription services often require significant human resources, which can be costly for hospitals, clinics, and private practices. By leveraging AI, healthcare providers can reduce the need for manual transcription and allocate their resources more efficiently. AI transcription platforms typically offer scalable pricing plans, making them a more affordable option for small and large healthcare organizations alike.

Enhanced Security and Compliance

Medical records are highly sensitive and must comply with strict regulations, such as HIPAA (Health Insurance Portability and Accountability Act) in the United States. AI transcription platforms are designed with security and compliance in mind, ensuring that all data is encrypted and stored safely. These platforms also offer audit trails and reporting features, making it easier for healthcare providers to track and monitor their transcription processes while staying in compliance with industry regulations.

Seamless Integration with Healthcare Systems

AI-powered transcription services are often designed to integrate seamlessly with existing healthcare software systems, such as electronic health records (EHR) and practice management systems. This integration allows healthcare professionals to streamline their workflow, ensuring that transcribed notes are automatically uploaded into the patient’s records. By reducing manual data entry, healthcare professionals can save time and reduce the likelihood of errors.

How AI-Powered Medical Transcription Works

AI transcription services use a combination of advanced speech recognition technology, machine learning algorithms, and natural language processing (NLP) to convert spoken words into written text. Here’s a general overview of how the process works:

Audio Input: The medical professional records their notes, either through voice dictation or during a patient interaction.

Speech Recognition: The AI transcription platform uses advanced speech recognition software to process the audio file. The software analyzes the audio and breaks it down into individual words and phrases.

Contextual Understanding: The AI system then applies machine learning algorithms to understand the context of the conversation. It recognizes medical terms, diagnoses, medications, and other specific language used in healthcare.

Transcription Output: Once the AI has processed the audio and understood the context, it generates a written transcript of the conversation. The transcription is typically accompanied by timestamps for easy reference.

Review and Editing: While AI transcription is highly accurate, some platforms allow for manual review and editing to ensure the highest quality. Healthcare professionals can review the transcriptions and make any necessary corrections before finalizing the document.

The Future of Medical Transcription

As AI technology continues to evolve, the future of medical transcription looks even more promising. With improvements in natural language processing and machine learning, AI transcription platforms will become even more accurate, efficient, and user-friendly. Healthcare providers will continue to rely on these technologies to streamline their processes, improve patient care, and reduce administrative burdens.

The integration of AI in medical transcription is not just about improving speed and accuracy; it’s also about enhancing the overall quality of care. By allowing healthcare professionals to spend less time on administrative tasks, AI transcription can help them focus more on what matters most: their patients. The shift to AI-powered transcription will continue to shape the future of healthcare, offering new opportunities for growth and innovation in the industry.

Conclusion

AI-powered medical transcription is revolutionizing the healthcare industry by offering faster, more accurate, and cost-effective solutions for converting spoken medical notes into written records. With benefits such as improved accuracy, multilingual support, and enhanced security, AI transcription is becoming an essential tool for healthcare professionals worldwide. As technology continues to advance, we can expect even more innovations that will further enhance the quality of care and streamline healthcare workflows.

If you’re a healthcare provider or professional looking for a reliable transcription solution, consider exploring the capabilities of AI-powered transcription services like AccurateScribe.ai. With its state-of-the-art technology and commitment to accuracy and security, AccurateScribe.ai is leading the way in the evolution of medical transcription.

[the-latest-research]

Speech and Voice Recognition Market to be Worth $56.07 Billion by 2030

Meticulous Research®—leading global market research company, published a research report titled, ‘Speech and Voice Recognition Market by Function (Speech, Voice Recognition), Technology (AI and Non-AI), Deployment Mode (Cloud, On-premise), End User (Consumer Electronics, Automotive, BFSI, Other End Users), and Geography - Global Forecast to 2030.’

Speech Recognition Market Booming with AI and Growing Applications

The speech recognition market is poised for significant growth, reaching an estimated $56.07 billion by 2030 at a CAGR of 19.1%, acoording to Meticulous Research®. This surge is fueled by several key trends:

Voice Biometrics on the Rise: Security systems and financial applications are increasingly adopting voice biometrics for user authentication, offering a convenient and secure solution.

Voice Assistants Take Center Stage: Virtual assistants powered by AI are transforming how we interact with technology in homes, cars, and workplaces.

Smart Devices Drive Demand: The proliferation of voice-enabled smart speakers, wearables, and appliances is creating a strong demand for accurate speech recognition technology.

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5038

Challenges and Opportunities in Speech Recognition

Despite its growth potential, the market faces some hurdles:

Accent and Dialect Hurdles: Current systems may struggle with regional variations in speech patterns, requiring ongoing development for wider adoption.

Background Noise Interference: Speech recognition accuracy can be hampered by ambient noise, demanding improvements in noise cancellation techniques.

However, exciting opportunities lie ahead:

AI Integration Enhances Functionality: The integration of Artificial Intelligence and Machine Learning is continuously improving speech recognition accuracy and functionality.

Multilingual Communication: Speech recognition is poised to play a vital role in bridging language barriers by facilitating translation of rare and local languages.

Voice Authentication Gains Traction: The growing demand for secure mobile banking and other applications is driving the adoption of voice authentication technologies.

Market Segmentation Highlights

The report also explores various segments within the speech recognition market:

Function: Speech recognition (converting speech to text) holds the dominant market share due to the widespread use of AI and smart devices.

Technology: AI-powered speech recognition is leading the way due to its effectiveness in powering virtual assistants and other intelligent applications.

Deployment Mode: Cloud-based deployments are gaining traction due to their scalability, affordability, and ease of use, particularly for small and medium businesses.

End User: The IT and telecommunications sector currently holds the largest share, but the consumer electronics segment is expected to witness the fastest growth due to the rising popularity of voice-enabled devices.

Geography: North America dominates the market due to the presence of major technology players and a strong focus on improving customer service experiences.

By understanding these trends and segmentation, businesses can capitalize on the immense potential of the speech recognition market.

Key Players:

Some of the key players operating in the speech and voice recognition market are Microsoft Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Verint Systems Inc. (U.S.), Baidu, Inc. (China), Apple Inc. (U.S.), Speechmatics (U.K.), Sensory, Inc. (U.S.), AssemblyAI, Inc. (U.S.), iFLYTEK Co., Ltd. (China), LumenVox (U.S.), SESTEK (Turkey), and Dolbey Systems, Inc. (U.S.).Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research

[industrynewsupdates]

Voice And Speech Recognition Market Outlook, Competitive Strategies And Forecast

The global voice and speech recognition market size is anticipated to reach USD 53.67 billion by 2030, registering a CAGR of 14.6% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market is anticipated to witness an upsurge in the adoption of voice-activated systems, voice-enabled devices, and voice-enabled virtual assistant systems owing to the rising applications in the banking and automobile sectors. The escalating need to counter fraudulent activities and enhance security in the banking sector is boosting the adoption of voice biometrics for the authentication of users. The automobile sector is expected to gain momentum owing to advances in technology & emergence of innovative concepts, such as autonomous and connected cars.

The integration of the voice-activated software in future cars is anticipated to adopt technologies, such as noise abatement for selectively ignoring driving & passenger noises for providing an error-free and seamless experience to the operator. Voice recognition is also a core technology that is widely used in the healthcare sector to enhance the Electronic Health Record (HER) systems by providing an ease to the doctor to speak and keep the records instead of manual typing or writing. In 2018, the healthcare vertical held the largest market share and it is expected to grow significantly over the forecast period. AI-based voice and speech recognition software is expected to grow at the fastest CAGR from 2023 to 2030.

This is due to the continuous development of machine learning techniques and the integration of connected devices with personal assistants. For instance, Dragon Drive is a personal assistant developed by Nuance Communication Inc. that integrates various household appliances, cars, and smartphones that can be connected to a hub through the internet. Thus, an individual can get alerts about daily chores, work schedules, traffic updates, and many more alerts through the Dragon Drive. In addition, sentiment analysis using the changes in the pitch of the voice is anticipated to provide an opportunity to the market. However, the lack of accuracy of these technologies in recognizing the regional accents and dialects is expected to limit the market growth.

Gather more insights about the market drivers, restrains and growth of the Voice And Speech Recognition Market

Voice And Speech Recognition Market Report Highlights

• A rising trend in the development of Artificial Intelligence (AI)-based systems is expected to be the key factor driving the market growth over the forecast period

• Leveraging deep learning algorithms in voice & speech solutions for better search results is expected to be the key factor for the growth of the AI-based technology segment

• The deployment of speech recognition solutions in consumer and retail verticals is anticipated to lead to the high market growth

• This can be attributed to the changing lifestyles in countries, such as the U.S., Germany, and the U.K.

• Moreover, the growing adoption of smart electronics in India, China, Japan, and Brazil is likely to drive the market growth in the consumer vertical

• North America and the Asia Pacific are anticipated to witness considerable growth owing to the presence of several U.S.- and China-based players, such as Apple, Inc., Facebook, Inc., Baidu, Inc., Amazon.com, Inc., and Alphabet, Inc., working toward the development of this technology

• Key industry participants are focusing on integrating the AI technology in speech & voice recognition software to build superior products that would increase their user customer base

Voice And Speech Recognition Market Segmentation

Grand View Research has segmented the global voice and speech recognition market on the basis of function, technology, vertical, and region:

Voice & Speech Recognition Function Outlook (Revenue, USD Million, 2017 - 2030)

• Voice Recognition

o Speaker Identification

o Speaker Verification

• Speech Recognition

o Automatic Speech Recognition

o Text-to-Speech

Voice & Speech Recognition Technology Outlook (Revenue, USD Million, 2017 - 2030)

• AI-based

• Non-AI-based

Voice & Speech Recognition Vertical Outlook (Revenue, USD Million, 2017 - 2030)

• Automotive

• Enterprise

• Consumer

• BFSI

• Government

• Retail

• Healthcare

• Military

• Legal

• Education

• Others

Voice & Speech Recognition Regional Outlook (Revenue, USD Million, 2017 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o Germany

o UK

o France

o Italy

o Spain

o The Netherlands

o Switzerland

o Poland

• Asia Pacific

o China

o Japan

o India

o South Korea

o Singapore

o Pakistan

o Malaysia

o Australia

o Hong Kong

o Vietnam

• South America

o Brazil

o Argentina

o Chile

• Middle East & Africa

o UAE

o Saudi Arabia

o Israel

o South Africa

o Nigeria

Order a free sample PDF of the Voice And Speech Recognition Market Intelligence Study, published by Grand View Research.

[dhirajmarketresearch]

[engenhariadesoftware]

As Melhores IAs de Conversação com Fala Gratuitas

Introdução às IAs de Conversação com Fala Nos últimos anos, as IAs de conversação com fala têm ganhado destaque em diversas áreas, desde assistentes pessoais até chatbots empresariais, passando por sistemas de automação doméstica. Esses sistemas utilizam tecnologias avançadas de reconhecimento de fala, processamento de linguagem natural (NLP) e síntese de fala (Text-to-Speech) para permitir uma…

[industryforecastnews]

Voice And Speech Recognition Market Size To Reach USD 53.67 Billion By 2030

Voice And Speech Recognition Market Growth & Trends

The global voice and speech recognition market size is anticipated to reach USD 53.67 billion by 2030, registering a CAGR of 14.6% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market is anticipated to witness an upsurge in the adoption of voice-activated systems, voice-enabled devices, and voice-enabled virtual assistant systems owing to the rising applications in the banking and automobile sectors. The escalating need to counter fraudulent activities and enhance security in the banking sector is boosting the adoption of voice biometrics for the authentication of users. The automobile sector is expected to gain momentum owing to advances in technology & emergence of innovative concepts, such as autonomous and connected cars.

The integration of the voice-activated software in future cars is anticipated to adopt technologies, such as noise abatement for selectively ignoring driving & passenger noises for providing an error-free and seamless experience to the operator. Voice recognition is also a core technology that is widely used in the healthcare sector to enhance the Electronic Health Record (HER) systems by providing an ease to the doctor to speak and keep the records instead of manual typing or writing. In 2018, the healthcare vertical held the largest market share and it is expected to grow significantly over the forecast period. AI-based voice and speech recognition software is expected to grow at the fastest CAGR from 2023 to 2030.

This is due to the continuous development of machine learning techniques and the integration of connected devices with personal assistants. For instance, Dragon Drive is a personal assistant developed by Nuance Communication Inc. that integrates various household appliances, cars, and smartphones that can be connected to a hub through the internet. Thus, an individual can get alerts about daily chores, work schedules, traffic updates, and many more alerts through the Dragon Drive. In addition, sentiment analysis using the changes in the pitch of the voice is anticipated to provide an opportunity to the market. However, the lack of accuracy of these technologies in recognizing the regional accents and dialects is expected to limit the market growth.

Request a free sample copy or view report summary: https://www.grandviewresearch.com/industry-analysis/voice-recognition-market

Voice And Speech Recognition Market Report Highlights

A rising trend in the development of Artificial Intelligence (AI)-based systems is expected to be the key factor driving the market growth over the forecast period

Leveraging deep learning algorithms in voice & speech solutions for better search results is expected to be the key factor for the growth of the AI-based technology segment

The deployment of speech recognition solutions in consumer and retail verticals is anticipated to lead to the high market growth

This can be attributed to the changing lifestyles in countries, such as the U.S., Germany, and the U.K.

Moreover, the growing adoption of smart electronics in India, China, Japan, and Brazil is likely to drive the market growth in the consumer vertical

North America and the Asia Pacific are anticipated to witness considerable growth owing to the presence of several U.S.- and China-based players, such as Apple, Inc., Facebook, Inc., Baidu, Inc., Amazon.com, Inc., and Alphabet, Inc., working toward the development of this technology

Key industry participants are focusing on integrating the AI technology in speech & voice recognition software to build superior products that would increase their user customer base

Voice And Speech Recognition Market Segmentation

Grand View Research has segmented the global voice and speech recognition market on the basis of function, technology, vertical, and region:

Voice & Speech Recognition Function Outlook (Revenue, USD Million, 2017 - 2030)

Voice Recognition

Speaker Identification

Speaker Verification

Speech Recognition

Automatic Speech Recognition

Text-to-Speech

Voice & Speech Recognition Technology Outlook (Revenue, USD Million, 2017 - 2030)

AI-based

Non-AI-based

Voice & Speech Recognition Vertical Outlook (Revenue, USD Million, 2017 - 2030)

Automotive

Enterprise

Consumer

BFSI

Government

Retail

Healthcare

Military

Legal

Education

Others

Voice & Speech Recognition Regional Outlook (Revenue, USD Million, 2017 - 2030)

North America

U.S.

Canada

Mexico

Europe

Germany

UK

France

Italy

Spain

The Netherlands

Switzerland

Poland

Asia Pacific

China

Japan

India

South Korea

Singapore

Pakistan

Malaysia

Australia

Hong Kong

Vietnam

South America

Brazil

Argentina

Chile

Middle East & Africa

UAE

Saudi Arabia

Israel

South Africa

Nigeria

List of Key Players of Voice And Speech Recognition Market

Advanced Voice Recognition Systems, Inc.

Agnitio S.L.

Amazon.com, Inc.

Api.ai

Apple, Inc.

Anhui USTC iFlytek, Ltd.

Baidu, Inc.

BioTrust ID B.V.

CastleOS Software, LLC

Facebook, Inc.

Google, Inc.

International Business Machines Corp.

Microsoft Corp.

MModal, Inc.

Nortek Holdings, Inc.

Nuance Communications, Inc.

Raytheon Company

SemVox GmbH

Sensory, Inc.

Browse Full Report: https://www.grandviewresearch.com/industry-analysis/voice-recognition-market  

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[reasonsforhope]

A mountain in New Zealand considered an ancestor by Indigenous people was recognized as a legal person on Thursday [January 30, 2025] after a new law granted it all the rights and responsibilities of a human being.

Mount Taranaki — now known as Taranaki Maunga, its Māori name — is the latest natural feature to be granted personhood in New Zealand, which has ruled that a river and a stretch of sacred land are people before. The pristine, snow-capped dormant volcano is the second highest on New Zealand's North Island at 2,518 meters (8,261 feet) and a popular spot for tourism, hiking and snow sports.

The legal recognition acknowledges the mountain's theft from the Māori of the Taranaki region after New Zealand was colonized. It fulfills an agreement of redress from the country's government to Indigenous people for harms perpetrated against the land since.

How can a mountain be a person?

The law passed Thursday gives Taranaki Maunga all the rights, powers, duties, responsibilities and liabilities of a person. Its legal personality has a name: Te Kāhui Tupua, which the law views as "a living and indivisible whole." It includes Taranaki and its surrounding peaks and land, "incorporating all their physical and metaphysical elements."

A newly created entity will be "the face and voice" of the mountain, the law says, with four members from local Māori iwi, or tribes, and four members appointed by the country's Conservation Minister.

Why is this mountain special?

"The mountain has long been an honored ancestor, a source of physical, cultural and spiritual sustenance and a final resting place," Paul Goldsmith, the lawmaker responsible for the settlements between the government and Māori tribes, told Parliament in a speech on Thursday.

But colonizers of New Zealand in the 18th and 19th centuries took first the name of Taranaki and then the mountain itself. In 1770, the British explorer Captain James Cook spotted the peak from his ship and named it Mount Egmont.

In 1840, Māori tribes and representatives of the British crown signed the Treaty of Waitangi — New Zealand's founding document — in which the Crown promised Māori would retain rights to their land and resources. But the Māori and English versions of the treaty differed — and Crown breaches of both began immediately.

In 1865, a vast swathe of Taranaki land, including the mountain, was confiscated to punish Māori for rebeling against the Crown. Over the next century hunting and sports groups had a say in the mountain's management — but Māori did not.

"Traditional Māori practices associated with the mountain were banned while tourism was promoted," Goldsmith said. But a Māori protest movement of the 1970s and '80s has led to a surge of recognition for the Māori language, culture and rights in New Zealand law.

Redress has included billions of dollars in Treaty of Waitangi settlements — such as the agreement with the eight tribes of Taranaki, signed in 2023.

How will the mountain use its rights?

"Today, Taranaki, our maunga, our maunga tupuna, is released from the shackles, the shackles of injustice, of ignorance, of hate," said Debbie Ngarewa-Packer, a co-leader of the political party Te Pāti Māori and a descendant of the Taranaki tribes, using a phrase that means ancestral mountain.

"We grew up knowing there was nothing anyone could do to make us any less connected," she added.

The mountain's legal rights are intended to uphold its health and wellbeing. They will be employed to stop forced sales, restore its traditional uses and allow conservation work to protect the native wildlife that flourishes there. Public access will remain.

Do other parts of New Zealand have personhood?

New Zealand was the first country in the world to recognize natural features as people when a law passed in 2014 granted personhood to Te Urewera, a vast native forest on the North Island. Government ownership ceased and the tribe Tūhoe became its guardian.

"Te Urewera is ancient and enduring, a fortress of nature, alive with history; its scenery is abundant with mystery, adventure, and remote beauty," the law begins, before describing its spiritual significance to Māori. In 2017, New Zealand recognized the Whanganui River as human, as part of a settlement with its local iwi.

How much support did the law receive?

The bill recognizing the mountain's personhood was affirmed unanimously by Parliament's 123 lawmakers. The vote was greeted by a ringing waiata — a Māori song — from the public gallery, packed with dozens who had traveled to the capital, Wellington, from Taranaki.

The unity provided brief respite in a tense period for race relations in New Zealand. In November, tens of thousands of people marched to Parliament to protest a law that would reshape the Treaty of Waitangi by setting rigid legal definitions for each clause. Detractors say the law — which is not expected to pass — would strip Māori of legal rights and dramatically reverse progress from the past five decades.

-via NPR, January 31, 2025

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Note: The article doesn't get fully into the implications of the broader, global "rights of nature" movement (of which this is part), which is powerful tool for not only recognizing Indigenous ways of relating to the world, but also preventing ecological damage.

Examples of rights of nature include rivers having the right to not be polluted, etc. Powerful tool for leveraging the courts and legal frameworks against environmental destruction.