TTS
opentts
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TTS | opentts | |
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231 | 10 | |
28,959 | 809 | |
5.9% | - | |
9.5 | 1.3 | |
2 days ago | about 1 month ago | |
Python | Python | |
Mozilla Public License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TTS
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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
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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.
- 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.
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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
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At a loss trying to get coqui_tts extension to load
No API token found for 🐸Coqui Studio voices - https://coqui.ai
opentts
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Is Sampling Dictionary Text To Speech Allowed?
I think using something like openTTS might be safer. Though I'm pretty sure no one will ever find out you used their online tts.
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Home Assistant’s Year of the Voice – Chapter 2
The most exciting thing about Home Assistant's "Year of the Voice", for me, is that it is apparently enabling/supporting @synesthesiam's continued phenomenal contributions to the FLOSS off-line voice synthesis space.
The quality, variety & diversity of voices that synesthesiam's "Larynx" TTS project (https://github.com/rhasspy/larynx/) made available, completely transformed the Free/Open Source Text To Speech landscape.
In addition "OpenTTS" (https://github.com/synesthesiam/opentts) provided a common API for interacting with multiple FLOSS TTS projects which showed great promise for actually enabling "standing on the shoulders of" rather than re-inventing the same basic functionality every time.
The new "Piper" TTS project mentioned in the article is the apparent successor to Larynx and, along with the accompanying LibriTTS/LibriVox-based voice models, brings to FLOSS TTS something it's never had before:
* Too many voices! :)
Seriously, the current LibriTTS voice model version has 900+ voices (of varying quality levels), how do you even navigate that many?![0]
And that's not even considering the even higher quality single speaker models based on other audio recording sources.
Offline TTS while immensely valuable for individuals, doesn't seem to be attractive domain for most commercial entities due to lack of lock-in/telemetry opportunities so I was concerned that we might end up missing out on further valuable contributions from synesthesiam's specialised skills & experience due to financial realities & the human need for food. :)
I'm glad we instead get to see what happens next.
[0] See my follow-up comment about this.
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Free text-to-speech software (or low budget)
Yes, if you scroll down on the github page you can read the extensive README.md file on its setup.
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Use OpenTTS for Android
I was wondering if there was a way to use a private OpenTTS server for the Android Text-To-Speech engine.
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Ask HN: Are there any good open source Text-to-Speech tools?
If your use case allows for a web API, I've had good experience running OpenTTS[0].
It packages several models, including Coqui AI's TTS which I tend to use the most. There's a handy Docker image, too.
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gosling: natural sounding text-to-speech in the terminal
https://github.com/synesthesiam/opentts is run through Docker, which is pretty simple, and provides a GUI in the browser. There is a good selection of voice engines and voices, and the local Web server has API endpoints. I've been using this on Linux Mint lately.
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NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
If you've not already encountered them I'd definitely encourage you to check out these Free/Open Source projects too:
* Larynx: https://github.com/rhasspy/larynx/
* OpenTTS: https://github.com/synesthesiam/opentts
* Likely Mimic3 in the near future: https://mycroft.ai/blog/mimic-3-preview/
Larynx in particular has a focus on "faster than real-time" while OpenTTS is an attempt to package & provide common REST API to all Free/Open Source Text To Speech systems so the FLOSS ecosystem can build on previous work supported by short-lived business interests, rather than start from scratch every time.
AIUI the developer of the first two projects now works for Mycroft AI & is involved in the development of Mimic3 which seems very promising given how much of an impact on quality his solo work has had in just the past couple of years or so.
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Standalone apps / redistributable docker?
I haven't personally dealt with Docker much, but am trying to make use of some open source stuff that seems to require Docker to run (https://github.com/synesthesiam/opentts).
What are some alternatives?
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
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Thorsten-Voice - Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.
larynx - End to end text to speech system using gruut and onnx
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
bark - 🔊 Text-Prompted Generative Audio Model
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.