audapolis
whisper
audapolis | whisper | |
---|---|---|
8 | 344 | |
639 | 60,988 | |
2.2% | 3.7% | |
6.7 | 6.4 | |
7 months ago | 8 days ago | |
TypeScript | Python | |
GNU Affero General Public License v3.0 | 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.
audapolis
- Audapolis: An editor for spoken-word audio with automatic transcription
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MacWhisper: Transcribe audio files on your Mac
Here's a multi-platform open source app that does the same thing but uses vosk instead of whisper.
https://github.com/bugbakery/audapolis
- Will Kden ever have Ai
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Self-hosted audio transcription?
Audapolis is also an interesting option: https://github.com/audapolis/audapolis
- [Looking for] Ai audio denoise & transcript
- Audapolis – Edit audio and video by selecting text
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?
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
whisper-diarization - Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
LLMStack - No-code platform to build LLM Agents, workflows and applications with your data
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
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)
whisperer - On-demand prompt-aided voice-to-text with OpenAI's Whisper
whisper.cpp - Port of OpenAI's Whisper model in C/C++
SpeechRecognition - Speech recognition module for Python, supporting several engines and APIs, online and offline.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.