#jupyter_notebook #dataset_analysis #deep_learning #gantts #glow_tts #melgan #multiband_melgan #python #pytorch #speaker_encoder #speech #tacotron #tacotron2 #tensorflow2 #text_to_speech #tts #vocoder

https://github.com/mozilla/TTS

#python #align_tts #deep_learning #glow_tts #hifigan #melgan #melgan_stft #pytorch #speaker_encoder #speaker_encodings #speech #tacotron #tensorflow2 #text_to_speech #tts #vocoder

https://github.com/coqui-ai/TTS

#python #callcenter #conformer #ctc_decode #deepspeech #fastspeech2 #language_model #mandarin_language #ngram #parallel_wavegan #punctuation_restoration #speech_alignment #speech_recognition #speech_to_text #speech_translation #streaming_asr #text_frontend #text_to_speech #transformer

https://github.com/PaddlePaddle/PaddleSpeech

#python #deep_learning #pytorch #speech #speech_processing #speech_synthesis #text_to_speech #toolkit #tts

https://github.com/DigitalPhonetics/IMS-Toucan

#python #speech_synthesis #text_to_speech #tts

The `edge-tts` module lets you use Microsoft Edge's text-to-speech service in your Python code or through commands. You can install it using `pip install edge-tts`. With this module, you can convert text to speech, change the voice and language, adjust the speech rate, volume, and pitch, and even play back the speech immediately. This is useful because it allows you to easily create audio files from text and customize how they sound, making it handy for various applications like automated announcements or educational tools.

https://github.com/rany2/edge-tts

#python #audio_generation #audio_synthesis #audioldm #audit #fastspeech2 #hifi_gan #music_generation #naturalspeech2 #singing_voice_conversion #speech_synthesis #text_to_audio #text_to_speech #vall_e #vits #voice_conversion

Amphion is a toolkit for generating audio, music, and speech. It helps researchers and engineers, especially beginners, by providing tools for various tasks like turning text into speech (TTS), singing voice conversion (SVC), and text to audio (TTA). Amphion includes visualizations to help understand how these models work, which is very useful for learning. It also offers different vocoders to produce high-quality audio and evaluation metrics to ensure the generated audio is good. This toolkit is free to use under the MIT License and can be installed easily using Python or Docker. Using Amphion, you can create high-quality audio and music with advanced features, making it a powerful tool for both research and practical applications.

https://github.com/open-mmlab/Amphion

#python #deep_learning #glow_tts #hifigan #melgan #multi_speaker_tts #python #pytorch #speaker_encoder #speaker_encodings #speech #speech_synthesis #tacotron #text_to_speech #tts #tts_model #vocoder #voice_cloning #voice_conversion #voice_synthesis

The new version of TTS (Text-to-Speech) from Coqui.ai, called TTSv2, is now available with several improvements. It supports 16 languages and has better performance overall. You can fine-tune the models using the provided code and examples. The TTS system can now stream audio with less than 200ms latency, making it very responsive. Additionally, you can use over 1,100 Fairseq models and new features like voice cloning and voice conversion. This update also includes faster inference with the Tortoise model and support for multiple speakers and languages. These enhancements make it easier and more efficient to generate high-quality speech from text.

https://github.com/coqui-ai/TTS

#python #text_to_speech #tts #vits #voice_clone #voice_cloneai #voice_cloning

GPT-SoVITS-WebUI is a powerful tool for converting text to speech and changing voices. Here’s what it offers** You can convert text to speech instantly with just a 5-second vocal sample.
- **Few-shot TTS** It works in several languages including English, Japanese, Korean, Cantonese, and Chinese.
- **WebUI Tools:** It includes tools like voice separation, automatic training set segmentation, and text labeling, making it easier to create and use the models.

Using GPT-SoVITS-WebUI benefits you by allowing quick and easy voice conversions and text-to-speech functions with high quality and flexibility.

https://github.com/RVC-Boss/GPT-SoVITS

#cplusplus #aarch64 #android #arm32 #asr #cpp #csharp #dotnet #ios #lazarus #linux #macos #mfc #object_pascal #onnx #raspberry_pi #risc_v #speech_to_text #text_to_speech #vits #windows

This tool supports various speech functions like speech recognition, text-to-speech, speaker identification, and more. It works on multiple platforms including Android, iOS, Windows, macOS, and Linux, and supports several programming languages such as C++, Python, JavaScript, and others. You can use it locally or through web assembly, making it versatile and convenient. This benefits you by allowing you to integrate advanced speech capabilities into your projects easily, regardless of the platform or programming language you use.

https://github.com/k2-fsa/sherpa-onnx

#python #artificial_intelligence #llm #python #real_time #speech_to_text #text_to_speech

FastRTC is a Python library that helps you create real-time audio and video streams using WebRTC or WebSockets. It allows you to turn any Python function into a live stream, making it useful for applications like voice chats or video conferencing. Key features include automatic voice detection, built-in UI support with Gradio, and integration with FastAPI for custom frontends. This library simplifies the process of handling real-time communication, allowing developers to focus on their application logic rather than complex streaming setups.

https://github.com/freddyaboulton/fastrtc