tortoise-tts-modal-api
TTS
tortoise-tts-modal-api | TTS | |
---|---|---|
6 | 235 | |
111 | 31,005 | |
0.9% | 5.9% | |
0.0 | 9.2 | |
9 months ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | Mozilla Public License 2.0 |
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tortoise-tts-modal-api
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[D] Any model like VALL-E available currently?
We put up a free, open source API for tortoise recently, will be adding improvements to this over time & appreciate contributions: https://github.com/metavoicexyz/tortoise-tts-modal-api
- Open-source, serverless text-to-speech
- Open-source serverless text-to-speech
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[P] Built an at-cost, pay per second, open-source API for Tortoise text-to-speech (best I've heard!)
It can be used via a UI on: https://tts.themetavoice.xyz
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Show HN: Tortoise TTS as an at-cost open-source pay-per-second API
Tortoise TTS is the best TTS available today. We built an open-source, at cost, pay per second API for it. The quality of intonation it generates is unparalleled, and we hope our at-cost API will make it easier for people to build on top!
This allows folks to run via a single API call - it costs $0.03/query. The WAV file is downloadable, we apply no restrictions.
We're open-sourcing all our work โ we made Tortoise run 30% faster, and have more improvements coming. If you're keen to contribute we can help with ideas, pointers, compute and data; just DM us. Our fork with the improvements can be found at https://github.com/metavoicexyz/tortoise-tts. The deployment code can be found at https://github.com/metavoicexyz/tortoise-tts-modal-api.
There are already great alternatives for using : i) @mdnest_r's awesome Huggingface Spaces, ii) original Google Colab, iii) host it yourself. Our work should accelerate those who need an API, don't want to spend time/$ hosting and need a scalable infra backing them.
We're especially excited about combining text-to-speech with content generated from LLMs, and about how it fits into video creation tools.
Tortoise in its current form is also inaccessible to non-technical users, which is why we are also providing a simple UI on top (also "at-cost"): https://tts.themetavoice.xyz
To use, generate an API key on https://tts.themetavoice.xyz and call via POST request. Or use the web UI. Or run your own deployment.
TTS
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Coqui.ai TTS: A Deep Learning Toolkit for Text-to-Speech
The license is the MPL, which allows commercial use?
https://github.com/coqui-ai/TTS/blob/dev/LICENSE.txt
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Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant
When I did a similar thing (but with less LLM) I liked https://github.com/coqui-ai/TTS but back then I needed to cut out the conversion step from tensor to a list of numbers to make it work really nicely.
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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)
What are some alternatives?
unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
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
tortoise-tts-Windows - A multi-voice TTS system trained with an emphasis on quality
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
MockingBird - ๐AIๆๅฃฐ: 5็งๅ ๅ ้ๆจ็ๅฃฐ้ณๅนถ็ๆไปปๆ่ฏญ้ณๅ ๅฎน Clone a voice in 5 seconds to generate arbitrary speech in real-time
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 - ๐ 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.