EmotiVoice
whisper
| EmotiVoice | whisper | |
|---|---|---|
| 5 | 344 | |
| 6,369 | 60,988 | |
| - | 3.7% | |
| 8.9 | 6.4 | |
| 3 months ago | 4 days ago | |
| Python | Python | |
| Apache 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.
EmotiVoice
- FLaNK Stack Weekly 12 February 2024
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
Interested to see how it performs for Mandarin Chinese speech synthesis, especially with prosody and emotion. The highest quality open source model I've seen so far is EmotiVoice[0], which I've made a CLI wrapper around to generate audio for flashcards.[1] For EmotiVoice, you can apparently also clone your own voice with a GPU, but I have not tested this.[2]
[0] https://github.com/netease-youdao/EmotiVoice
[1] https://github.com/siraben/emotivoice-cli
[2] https://github.com/netease-youdao/EmotiVoice/wiki/Voice-Clon...
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Microsoft releases Windows AI studio to run and fine tune models locally
Interesting. I'll have to check to be sure, but I think maybe something is happening automagically if you have reasonably up to date nvidia drivers on the host OS, because I was able to run the EmotiVoice TTS docker (which requires nvidia gpu) from WSL2.
https://github.com/netease-youdao/EmotiVoice
- FLaNK Stack Weekly for 13 November 2023
- EmotiVoice: A Multi-Voice and Prompt-Controlled TTS Engine
whisper
- Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
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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
What are some alternatives?
Cgml - GPU-targeted vendor-agnostic AI library for Windows, and Mistral model implementation.
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
draw-a-ui - Draw a mockup and generate html for it
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
MockingBird - 🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
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)
lhotse - Tools for handling speech data in machine learning projects.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
voice100 - Voice100 includes neural TTS/ASR models. Inference of Voice100 is low cost as its models are tiny and only depend on CNN without autoregression.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.