subsai
whisper.cpp
subsai | whisper.cpp | |
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3 | 187 | |
1,088 | 31,649 | |
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8.4 | 9.8 | |
about 1 month ago | 4 days ago | |
Python | C | |
GNU General Public License v3.0 only | MIT License |
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subsai
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Porting CP/M to the Brother SuperPowerNote Z80 laptop thing [video]
Adding Whisper subtitles was really easy and they're dramatically better than the automatic Google ones (I did it via https://github.com/abdeladim-s/subsai, which was really easy to use). So there is now a reasonably good transcript available in the video comments.
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Using Whisper to transcribe the entire Forensic Files series
take a look at https://github.com/abdeladim-s/subsai
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Any good FOSS tool for transcribing audio/video locally?
I found subsai very intuitive. Gives you the option to use whisper or different implementations of whisper under the hood.
whisper.cpp
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Show HN: I created automatic subtitling app to boost short videos
whisper.cpp [1] has a karaoke example that uses ffmpeg's drawtext filter to display rudimentary karaoke-like captions. It also supports diarisation. Perhaps it could be a starting point to create a better script that does what you need.
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1: https://github.com/ggerganov/whisper.cpp/blob/master/README....
- LLaMA Now Goes Faster on CPUs
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LLMs on your local Computer (Part 1)
The ggml library is one of the first library for local LLM interference. Itβs a pure C library that converts models to run on several devices, including desktops, laptops, and even mobile device - and therefore, it can also be considered as a tinkering tool, trying new optimizations, that will then be incorporated into other downstream projects. This tool is at the heart of several other projects, powering LLM interference on desktop or even mobile phones. Subprojects for running specific LLMs or LLM families exists, such as whisper.cpp.
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Voxos.ai β An Open-Source Desktop Voice Assistant
I'm not sure if it is _fully_ openai compatible, but whispercpp has a server bundled that says it is "OAI-like": https://github.com/ggerganov/whisper.cpp/tree/master/example...
I don't have any direct experience with it... I've only played around with whisper locally, using scripts.
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Jarvis: A Voice Virtual Assistant in Python (OpenAI, ElevenLabs, Deepgram)
unless i'm misunderstanding `whisper.cpp` seems to support streaming & the repository includes a native example[0] and a WASM example[1] with a demo site[2].
[0]: https://github.com/ggerganov/whisper.cpp/tree/master/example...
- Wchess
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I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
Usage 1: Good to transcribe audio. An example use case could be to summarize YouTube videos or long courses. Usage 2: You talk with voice to your AI that responds with text (later with audio too). - https://github.com/ggerganov/whisper.cpp
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Scrybble is the ReMarkable highlights to Obsidian exporter I have been looking for
π£οΈποΈ whisper.cpp (offline speech-to-text transcription, models trained by OpenAI, CLI based, browser based)
- Whisper.wasm
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Whisper C++ not working for me. Anyone else?
Has anyone played around with Whisper C++ for swift? I'm hitting a snag even on the demo. I've downloaded the github repo and everything matches up with this video [ https://youtu.be/b10OHCDHDQ4 ] but when he hits the transcribe button, it actually prints out the captioning. When I do it, it skips that part and just says "Done...". But it, does everything else - plays the audio, says it's transcribing.. just doesn't show me the transcription: and it's not in the debug window either. But the demo isn't throwing any errors, and I haven't messed with the code really so this is their example. https://github.com/ggerganov/whisper.cpp
What are some alternatives?
yt-whisper - Using OpenAI's Whisper to automatically generate YouTube subtitles
faster-whisper - Faster Whisper transcription with CTranslate2
subgen - Autogenerate subtitles using OpenAI Whisper Model via Jellyfin, Plex, Emby, Tautulli, or Bazarr
bark - π Text-Prompted Generative Audio Model
ecoute - Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
whisper-auto-transcribe - Auto transcribe tool based on whisper
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
auto-subtitle - Automatically generate and overlay subtitles for any video.
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
llama.cpp - LLM inference in C/C++
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)