#speechsynthesis

[sentivium]

You can now test audio in Chat Completions with the OpenAI Playground!

[rhvoice-ec]

Updates for the Ecuadorian Spanish voice

We are currently about to sell this voice and present it at companies or institutions in the future, but not without first polishing some previous phonetic and voice questions. Listen the audio so you know how we did it. We are ready to launch this project at this point.

[creatifyiai]

How To Use FakeYou Text to Speech And Its Best 4 Alternatives In 2024

Because people want more convenient ways to convert text into speech, new tools keep popping up. One popular tool is FakeYou, which offers lots of different voices that people really like. You can pick a voice that suits the situation. What else can FakeYou do? This article will give you a detailed review of FakeYou’s text-to-speech features, and we’ll also talk about three other options.

What is FakeYou?

FakeYou is an online tool that helps to convert text into speech. It was named after the term ‘DeepFake’. In the recent update, FakeYou comes with over 3400 voices, celebrity voices included. It is free to use with pre-filtered voices for ease of selection and the ability to search easily. But there is more to it than that. Read on to learn more about other aspects of FakeYou.

How Does Fake You Work?... Read More

[callerspot]

Text to Speech Solutions serve as a cost-effective, efficient, and practical approach to communication. By leveraging this technology effectively, businesses can establish themselves as highly reliable in the eyes of their clients. CallerSpot, a provider of cloud-based Cloud Telephony Services, also offers Text to Speech solutions. It ensures top-notch customer support through direct connectivity and immediate message delivery

[qmshahzad]

Unveiling the Future of AI-Powered Conversational Interfaces: Introducin...

[freedomson]

SpeechSynthesis - Web APIs | MDN

https://developer.mozilla.org/en-US/docs/Web/API/SpeechSynthesis Enviado do meu telemóvel HONOR

[vmlogin]

How does VMLogin Antidetect Browser Prevent Fingerprinting?

1. Supports customization of fingerprint hardware parameters such as browser UA, fonts, language, CPU, graphics card, resolution, sound card, memory, media devices, and so on;

2. Supports emulating Windows, MacOS, Linux, Android, and IOS operating system browsers;

3. Supports ClentRects, Canvas, Audio;

4. Context and WebGL fingerprint protection;

5. Supports customized settings for SpeechSynthesis API, SSL, plug-ins and other fingerprints;

6. Supports customizing computer name and MAC address to prevent leakage;

7. Supports cell phone browser mobile emulation function and detection of screen touch event function;

8. Supports customization of DNS, Header, and startup browser parameters, and can also hide the “Webdriver”, and set Do Not Track;

9. Supports customizing the latitude and longitude of the geographic location;

VMLogin Antidetect Browser mainly provides unlimited unique browser fingerprint environments for each account and window, each browser environment will be displayed as natural, native local settings, effectively preventing fingerprinting and user accounts from being banned. 

New users can try it for free for 3 days!

[educationtech]

How is deep learning used in speech recognition?

Deep learning speechsynthesis:-Application of deep learning models to generate natural-sounding human speech from text

Key Techniques:-Utilizesdeep neural networks (DNN) trained with a large amount of recorded speech and text data

BreakthroughModels:-WaveNet by DeepMind, char2wav by Mila, Tacotron , and Tacotron2 by Google, VoiceLoop by Facebook

AcousticFeatures:-Typically use spectrograms or mel-spectrograms for modeling raw audio waveforms

Speech recognition is afield that involves converting spoken language into written text, enabling various applications such as voice assistants, dictation systems, and machine translation. Deep learning has significantly contributed to theadvancement of speech recognition, offering various architectures and techniques to improve accuracy and robustness.

Deep learning architectures for speech recognition include Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), and Transformers. RNNs are particularly suited for speech recognition tasks due to their ability to handle sequential data. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) are popular variants of RNNs that address the vanishing gradient problem, enabling them to learn long-term dependencies in speech data.

Convolutional Neural Networks (CNNs) are another deep learning architecture successfully applied to speech recognition tasks. CNNs are particularly effective in extracting local features from spectrogram images, commonly used as input representations in speech recognition.

Transformers are a morerecent deep learning architecture with promising results in speech recognition tasks. Transformers are particularly effective in handling long-range dependencies in speech data, which is a common challenge in speech recognition tasks.

Deep learning techniquesfor speech recognition include Connectionist Temporal Classification (CTC), Attention Mechanisms, and End-to-End Deep Learning. CTC is a popular technique for speech recognition that allows for the direct mapping of input sequences to output sequences without the need for explicit alignment. Attention Mechanisms are another deep learning technique that has been successfully applied to speech recognition tasks, enabling models to focus on relevant parts of the input sequence for each output. End-to-end deep Learning is a more recent technique that involves training a single deep learning model to perform all steps of the speech recognition process, from feature extraction to decoding.

Deep learning hassignificantly improved the accuracy and robustness of speech recognition systems, enabling various applications such as voice assistants, dictation systems, and machine translation. However, there are still challenges to be addressed, such as handling noisy environments, dealing with different accents and dialects, and ensuring privacy and security.

In summary, deep learninghas revolutionized speech recognition, offering various architectures and techniques to improve accuracy and robustness. Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), and Transformers are popular deep learning architectures for speech recognition tasks, while Connectionist Temporal Classification (CTC), Attention Mechanisms, and End-to-End Deep Learning are popular deep learning techniques for speech recognition. Despite the significant progress made in speech recognition, there are still challenges to be addressed, such as handling noisy environments, dealing with different accents and dialects, and ensuring privacy and security.

There are some courses inmany courses like this in which one of the Top Engineering college in Jaipur Which is Arya College of Engineering & I.T.

[welpmagazine]

Read full article: https://welpmagazine.com/the-technology-behind-custom-text-to-speech/

[paradiso-lms-solutions]

Here’s what using Paradiso Ai Text to Speech Converter can do for your blog

The rise of AI speech technology is one of the most exciting advancements in the field of artificial intelligence (AI), which is altering the way people interact with technology. AI voiceover is making it simpler than ever to convert audio to text and connect with machines, from virtual assistants to speech generators. But what is AI voice precisely, and how does it operate? In this article, we’ll look at 10 AI speech-related facts you should be aware of, including the several varieties of AI voice technology, its many uses, and its current condition.

AI voice is a type of natural language processing (NLP)

AI voice technology can be divided into two main categories: speech recognition and speech synthesis

Used in a variety of applications

AI voice technology is becoming more human-like

Speech recognition in different languages

AI voice technology is becoming more accurate

Speech-to-text dictation

Generate synthetic speech

Voice cloning

AI voice technology is still in its early stages

[talleyran]

Снова про изучение Каны

Когда гештальт не завершен, я не могу спокойно спать. А он заключался в том, чтобы сделать тренажер для Каны действительно удобным, чтобы им можно было пользоваться со смартфона. И ещё, чтобы он таки произносил звуки. Я вообще от природы аудиал и мне так гораздо проще.

Я узнал две вещи. Во-первых встроенная в браузер система синтеза голоса существует в лице интерфейса SpeechSynthesis. Но это такая капризная сволочь, каких я еще не видел. Пришлось заворачивать в setInterval и ждать таким образом асинхронно, пока оно соизволит полностью проинициализироваться и отдать не пустой список голосов, которыми может разговаривать. Затем надо найти в нём нужный в моём случае японский язык. И только если это произойдет, то можно пользоваться. Голос конечно не как у Хацунэ Мику (а было бы офигенно!), но это лучше, чем вообще ничего. Хотя на андроиде приятнее, чем на винде. Если чекбокс «Озвучка» всё таки остался неактивным, значит ваш браузер не поддерживается.

Во-вторых, оказывается, что в мобилках хреново с height:100vh из за того, что там сверху есть браузерный бар с адресной строкой, пропадающий при прокрутке. И вот он то учитывается в высоте вьюпорта, то нет. И без неведомого свойства max-height: -webkit-fill-available; все съезжает за нижнюю границу экрана.

Как это выглядит в сафари, не знаю и нет желания и возможности проверять. Но если у кого-то айфон, расскажите работает ли вообще?

Новая адаптивная мобильная версия с голосом живет теперь постоянно тут.

[rhvoice-ec]

Ecuadorian Spanish demo

We built a new Ecuadorian Spanish voice, that has an accent of the Sierra region. This is a demonstration about how the voice sounds.

The recordings of the voice were made by a native speaker of the Sierra region, Matthew C., in the speaker's home studio.

We are planning to sell this voice in cash to start our entrepreneurship, and take this voice as a presentation of this project to institutions or companies in Ecuador, in the future.

[h99kaylee]

Good text reader software

Prior to anyone even pick up your computer system, anybody may need to adjust your own self up in exchange for getting good results by using the most suitable text reader software

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Text reader software for novice

The straightforward text reader software for Windows

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Unique kinds of this apps are generally

Text reader software

Text to Voice

Text reader

PDF to Speech

TTS Software

Text to MP3

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Download this text reader software for listen PDF with a natural voice or speechsynthesis

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[jasmine57i]

Text reader software Windows

Download the text reader software for quick and intelligent read-aloud a document

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Smart read a document with a natural voice and speech output with text reader software

Great Windows text reader software for amateurs to professional reading an email with clear voices

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The wonderful software utilized as

Text reader software

Text to speech reader

Text reader

Read aloud text

Text to Voice Reader

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Awesome text reader software for Windows and text to voice software

Text reader software for text to speech with a clear voice or program to read text out loud for pros

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