whisper
TTS
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whisper | TTS | |
---|---|---|
343 | 62 | |
59,916 | 8,784 | |
5.3% | 2.0% | |
6.8 | 0.0 | |
13 days ago | 6 months ago | |
Python | Jupyter Notebook | |
MIT License | Mozilla Public License 2.0 |
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.
whisper
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Why I Care Deeply About Web Accessibility And You Should Too
Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.
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How I built NotesGPT – a full-stack AI voice note app
Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.
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Ask HN: Can AI break a speech audio into individual words?
I found a pretty good discussion in the topic here:
https://github.com/openai/whisper/discussions/1243
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
There is a plot of language performance on their repo: https://github.com/openai/whisper
I am not aware of a multi-lingual leaderboard for speech recognition models.
- Ask HN: AI that allows you to make phone calls in a language you don't speak?
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Ask HN: Favorite Podcast Episodes of 2023?
I don't know how OP does it, but here's how I'd do it:
* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper
* Upload transcript to ChatGPT and ask it to summarize.
* Automate all the above.
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Need advice
Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper
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Subtitle is now open-source
Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.
[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.
Maybe you can rely on some sort of speaker identification to sort this out?
https://github.com/openai/whisper/discussions/264
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Federated Finetuning of OpenAI's Whisper on Raspberry Pi 5
v3 only comes in one flavor: large.
I don’t think you’re going to have a good time running the large model on a Pi of any kind.
The large models are 32x slower than the tiny models, roughly.[0]
I’m seeing people report that the Pi 4 can transcribe 30 seconds of audio in somewhere between 30 seconds and 60 seconds with the tiny model.
You can do the math… 32x = 16 minutes to 32 minutes to transcribe 30 seconds of audio with the large model. Not a good time for most people.
The Pi 5 could be 2x to 3x faster.
I should benchmark my Pi 4 sometime (or Pi 5, if it ever shows up).
[0]: https://github.com/openai/whisper/blob/main/README.md#availa...
TTS
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Any recommendation for human like voice AI model for conversation AI?
Fast or good, choose one
Mozilla's TTS is a python package installable with pip and uses cpu or gpu resources to render a choice of voices, they mostly sound natural and this is the good. https://github.com/mozilla/TTS
Mycroft's mimic3 is the default voice renderer for the Mycroft project that runs on pi hardware and sounds ok-ish, that is the fast. https://github.com/MycroftAI/mimic3
There are many others but these are the two I use according to if it needs to run on limited hardware or if the cycles fall freely from the sky.
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Coqui.ai Is Shutting Down
Coqui-ai was a commercial continuation of Mozilla TTS and STT (https://github.com/mozilla/TTS).
At the time (2018-ish), it was really impressive for on-device voice synthesis (with a quality approaching the Google and Azure cloud-based voice synthesis options) and open source, so a lot of people in the FOSS community were hoping it could be used for a privacy-respecting home assistant, Linux speech synthesis that doesn't suck, etc.
After Mozilla abandoned the project, Coqui continued development and had some really impressive one-shot voice cloning, but pivoted to marketing speech synthesis for game developers. They were probably having trouble monetizing it, and it doesn't surprise me that they shut down.
An equivalent project that's still in active development and doing really well is Piper TTS (https://github.com/rhasspy/piper).
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What self hosted app do you wish existed?
An RSS reader that integrates TTS (or TTS)
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Audio Converter! How to write one in c/c++?
My solution would be to use a speech synthesis library, maybe eSpeak or Festival, just for ease of use; I think they each provide a library that you could use from C or C++ easily. This one from Mozilla is a more modern system with better-quality output, but it looks like it's set up to run through Python, and I haven't looked at it closely enough to see how much work it would be to get it working for you.
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Web Speech API is (still) broken on Linux circa 2023
There is a lot of TTS and SST development going on (https://github.com/mozilla/TTS; https://github.com/mozilla/DeepSpeech; https://github.com/common-voice/common-voice). That is the only way they work: Contributions from the wild.
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[P] Balacoon: free-to-use text-to-speech
unfortunately not yet. I need to expand the library of languages and voices. looking around, it seems only Coqui had some traction re Brazilian Portuguese: https://github.com/mozilla/TTS/issues/160. If you foresee wide adoption of the tech for this locale, hit me up with DM
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Text to speech free
I haven't used it, but there's also mozilla/TTS.
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Does anyone know how to set up Mozilla TTS to work with firefox's reader view?
Mozilla TTS
- Conteúdo removido do rb que fiz sobre a destruição do Rio Doce 853KM de rio pela Vale e BHP Billings
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[D] Looking for someone to do a small coding job
Instead, just use Firefox's open-source TTS model: https://github.com/mozilla/TTS
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production