#speech-to-text

[4thstar]

Tratando de configurar el voz-a-texto bilingüe.

Conchestress.

[techniktagebuch]

Juni 2024

Ein mündlich-schriftlicher Vortrag

Für die re:publica habe ich einen Talk eingereicht und bin genommen worden. Der Talk basiert auf einem zweiteiligen Podcast, der ein halbes Jahr vorher erschienen ist, ich habe aber auf der Bühne weniger als halb so viel Zeit, um meine Geschichte zu erzählen. Ich weiß also bereits ungefähr, was ich erzählen will, möchte aber so "mündlich" wie möglich klingen. Daher entscheide ich mich dazu, nur die Struktur meines Vortrags als Flußdiagramm auf zwei Notizbuchseiten zu skizzieren. Anschließend improvisiere ich meinen Vortrag anhand der Struktur in mein Podcastmikrofon und transkribiere die Aufnahme anschließend automatisch mit MacWhisper. Um das Transkript herum baue ich meine Folien und füge die entsprechenden Teile (leicht redigiert) als Notizen hinzu. Auf der Bühne bin ich sehr zufrieden: Mein Talk hat Struktur, aber selbst wenn ich die Worte gelegentlich aus den Notizen ablese, klingen sie wie mündlich erzählt (weil sie das ja mal waren).

Als ich meiner Frau von meiner tollen Technik erzähle, sagt sie: Okay, das mache ich schon seit vielen Jahren so, also ohne die Transkription und mit Sprachnachrichten, statt mit Podcastmikro. Aber herzlichen Glückwunsch, Alex.

(Alexander Matzkeit)

[giantkillerjack]

Quick update on the State of the Nation & Very Important Technological Advancement:

The speech-to-text tool on my Android phone recognizes the word "destiel".

It's a little janky and apparently 50% likely to spontaneously delete all the other words in the sentence and just leave "destiel" for some reason.

But isn't that what Supernatural is really about? Aren't we really all just here in this fandom to forget all the words except for Destiel??

.... Now if I could JUST get speech-to-text to REMEMBER LITERALLY ANY ETHNIC NAME, THAT'D BE GREAT.

I know for a fact that it is possible and even relatively easy to teach speech recognition software to register new words because I used to work testing and calibrating Alexa apps. I KNOW HUMANITY HAS THE TECHNOLOGY, DAMMIT! - But I haven't been able to find a speech-to-text app that allows me to do this. Anyone else have more success than me?

[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.

[bhavanameti]

TOP 10 COMPANIES IN SPEECH-TO-TEXT API MARKET

The Speech-to-text API Market is projected to reach $10 billion by 2030, growing at a CAGR of 17.3% from 2023 to 2030. This market's expansion is fueled by the widespread use of voice-enabled devices, increasing applications of voice and speech technologies for transcription, technological advancements, and the rising adoption of connected devices. However, the market's growth is restrained by the lack of accuracy in recognizing regional accents and dialects in speech-to-text API solutions.

Innovations aimed at enhancing speech-to-text solutions for specially-abled individuals and developing API solutions for rare and local languages are expected to create growth opportunities in this market. Nonetheless, data security and privacy concerns pose significant challenges. Additionally, the increasing demand for voice authentication in mobile banking applications is a prominent trend in the speech-to-text API market.

Top 10 Companies in the Speech-to-text API Market

Google LLC

Founded in 1998 and headquartered in California, U.S., Google is a global leader in search engine technology, online advertising, cloud computing, and more. Google’s Speech-to-Text is a cloud-based transcription tool that leverages AI to provide real-time transcription in over 80 languages from both live and pre-recorded audio.

Microsoft Corporation

Established in 1975 and headquartered in Washington, U.S., Microsoft Corporation offers a range of technology services, including cloud computing and AI-driven solutions. Microsoft’s speech-to-text services enable accurate transcription across multiple languages, supporting applications like customer self-service and speech analytics.

Amazon Web Services, Inc.

Founded in 2006 and headquartered in Washington, U.S., Amazon Web Services (AWS) provides scalable cloud computing platforms. AWS’s speech-to-text software supports real-time transcription and translation, enhancing various business applications with its robust infrastructure.

IBM Corporation

Founded in 1911 and headquartered in New York, U.S., IBM Corporation focuses on digital transformation and data security. IBM’s speech-to-text service, part of its Watson Assistant, offers multilingual transcription capabilities for diverse use cases, including customer service and speech analytics.

Verint Systems Inc.

Established in 1994 and headquartered in New York, U.S., Verint Systems specializes in customer engagement management. Verint’s speech transcription solutions provide accurate data via an API, supporting call recording and speech analytics within their contact center solutions.

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5473

Rev.com, Inc.

Founded in 2010 and headquartered in Texas, U.S., Rev.com offers transcription, closed captioning, and subtitling services. Rev AI’s Speech-to-Text API delivers high-accuracy transcription services, enhancing accessibility and audience reach for various brands.

Twilio Inc.

Founded in 2008 and headquartered in California, U.S., Twilio provides communication APIs for voice, text, chat, and video. Twilio’s speech recognition solutions facilitate real-time transcription and intent analysis during voice calls, supporting comprehensive customer engagement.

Baidu, Inc.

Founded in 2000 and headquartered in Beijing, China, Baidu is a leading AI company offering a comprehensive AI stack. Baidu’s speech recognition capabilities are part of its diverse product portfolio, supporting applications across natural language processing and augmented reality.

Speechmatics

Founded in 1980 and headquartered in Cambridge, U.K., Speechmatics is a leader in deep learning and speech recognition. Their speech-to-text API delivers highly accurate transcription by training on vast amounts of data, minimizing AI bias and recognition errors.

VoiceCloud

Founded in 2007 and headquartered in California, U.S., VoiceCloud offers cloud-based voice-to-text transcription services. Their API provides high-quality transcription for applications such as voicemail, voice notes, and call recordings, supporting services in English and Spanish across 15 countries.

Top 10 companies: https://meticulousblog.org/top-10-companies-in-speech-to-text-api-market/

[wizard-loving-wizard]

i'm so obsessed with brennan's interpretation of charisma for an extremely autistic-coded character being that evan gives up the anxiety about fitting in, he stops masking, and instead he leans into his blunt, matter-of-fact nature, and that serves him SO MUCH BETTER in social situations than constantly apologizing for being different

edit: going back to the previous AP, aabria pitched basically this exact idea to brennan so she should get credit too

[shawnjordison]

Microsoft Word's Dictation Tool for Enhanced Accessibility

Unlock the power of the Microsoft Word dictation tool for seamless transcription and enhanced accessibility. #Accessibility #MicrosoftWord #DictationTool #SpeechToText #TechTips

In today’s tutorial, we’re diving into the efficient use of the dictation tool within Microsoft Word. This feature proves invaluable for note-taking during classes or harnessing the power of speech-to-text technology. Video Guide Microsoft Word offers a built-in dictation tool conveniently located on the Home ribbon. Simply navigate to the far right-hand side and you’ll find the option labeled…

[ekingston]

STEAL THIS POST.

don’t just reblog but REPOST, rephrase, do your own research and run with it however you want. DM me to email you the high resolution images if you need them. just help spread the word.

more info & links here.

[puffypoffin]

Here’s the obligatory skeptical big bro Sunday

Still on that Robinhill agenda btw

[emma-johns]

How Speech-to-Text Works?

Unlocking the magic behind seamless communication: Explore the fascinating journey of how Speech-to-Text transforms spoken words into written text, bridging the gap between speech and technology. 🗣️✨ #SpeechToText #TechnologyInAction"

[creolestudios]

Efficient Transcription Analysis with ChatGPT for Meetings & Conferences ChatGPT's AI model offers a transformative solution for transcription analysis in meetings and conferences. It excels in accuracy, adeptly transcribing various accents, languages, and complex terminology, reducing errors and improving data quality.

[buckynats]

When your girlfriend is a veteran scout with a (now-controlled) lyrium touch, you probably don't sleep in much.

comic of an early post-game thought I had, brought to stunning life by @yelenhol. They/them Rook.

[thinkview-1234]

[boop-le-snoot]

[schemelin]

More of my Lone Wanderer!