edge-tts
TTS
| edge-tts | TTS | |
|---|---|---|
| 4 | 232 | |
| 3,701 | 29,631 | |
| - | 4.7% | |
| 6.7 | 9.4 | |
| 6 days ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Mozilla Public License 2.0 |
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edge-tts
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[discussion] text to voice generation for textbooks (non-math part)
i would very much like to use it to turn the text parts of a book into an audio where i could listen to it while reading. i used edge's tts for speech by giving a paragraph to clipboard and to edge-tts in order to listen the text but it causes two problems: 1. you need internet connection and have the book opened 2. can only do paragraph by paragraph, and is prone to errors or sometimes if you use it too much it wont convert the full text afterwards.
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Building audiobooks for any documents (pdf, epub, doc, etc)
This sounds ambitious. I can recommend Edge TTS. Sounds good, albeit with some misspellings. You can see the code here: https://github.com/jing332/tts-server-android Here: https://github.com/rany2/edge-tts Edge TTS is not the only solution, but among the multilingual TTS you will hardly find something better.
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[DEV] Super realistic voices in Tasker with Elevenlabs! Combine with Chat GPT to create a very impressive assistant!
I became aware of it through the Home Assistant integration of edge-tts. You can install edge-tts with pip in Termux. For the audio output I also installed 'mpv' in Termux.
- Running Edge TTS Directly With Python - Error Message
TTS
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Ask HN: Open-source, local Text-to-Speech (TTS) generators
I just noticed that https://coqui.ai/ is "Shutting down".
I'm building a web app (React / Django) which takes a list of affirmations & goals (in Markdown files), puts them into a database (SQlite), and uses voice synthesis to create voice audio files of the phrases. These are combined with a relaxed backing track (ffmpeg), made into playlists of 10-20 phrases (randomly sampled, or according to a theme: "mind" "body" "soul") and then play automatically in the morning & evening (cron). This allows you to persistently hear & vocalize your own goals & good vibes over time.
I had been planning to use Coqui TTS as the local text-to-speech engine, but with this cancellation, I'd love to hear from the community what is a great open-source, local text-to-speech engine?
Generally, I learn both the highest quality commercially available technology (example: ElevenLabs), and also the best open-source equivalent. Would love to hear suggestions & perspectives on this. What voice synth tools are you investing your time into learning & building with?
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OpenAI deems its voice cloning tool too risky for general release
lol this marketing technique is getting very old. https://github.com/coqui-ai/TTS is already amazing and open source.
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What things are happening in ML that we can't hear oer the din of LLMs?
Not sure how relevant this is but note that Coqui TTS (the realistic TTS) has already shut down
https://coqui.ai
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Base TTS (Amazon): The largest text-to-speech model to-date
I've used coqui.ai's TTS models[0] and library[1] to great success. I was able to get cloned voice to be rendered in about 80% of the audio clip length, and I believe you can also stream the response. Do note the model license for XTTS, it is one they wrote themselves that has some restrictions.
[0] https://huggingface.co/coqui/XTTS-v2
[1] https://github.com/coqui-ai/TTS
- FLaNK Stack Weekly 12 February 2024
- Coqui Is Shutting Down
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Coqui.ai Is Shutting Down
My only exposure to Coqui was their text to speech software. If I remember correctly the website was a commercialized service with TTS and probably some other related things. I hope the software work continues in the open.
https://github.com/coqui-ai/TTS
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Hello guys, any selfhosted alternative to eleven labs?
Coqui.ai TTS (https://github.com/coqui-ai/TTS)
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Demo of Anagnorisis - completely local recommendation system powered by Llama 2. Radio mode. Work in progress.
"tts_models/multilingual/multi-dataset/xtts_v2" model from https://github.com/coqui-ai/TTS. It gives pretty good results and works with references, so it's pretty easy to change the voice. By the way the source code of the project is open: https://github.com/volotat/Anagnorisis but be ready, the code is pretty raw for now.
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XTTS voice cloning with only a seconds of audio
A recent update to their GitHub also has a no-code gradio ui to facilitate fine-tuning and inferencing locally. https://github.com/coqui-ai/TTS/releases/tag/v0.21.3
What are some alternatives?
tts-server-android - 这是一个Android系统TTS应用，内置微软演示接口，可自定义HTTP请求，可导入其他本地TTS引擎，以及根据中文双引号的简单旁白/对话识别朗读 ，还有自动重试，备用配置，文本替换等更多功能。| Microsoft TTS Android APP implementation (Use demo API)
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
crowdcast - Converts a subreddit into a podcast
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
piper - A fast, local neural text to speech system
bark - 🔊 Text-Prompted Generative Audio Model
PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.