audiocraft
whisper.cpp
audiocraft | whisper.cpp | |
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37 | 187 | |
19,792 | 31,817 | |
2.5% | - | |
8.3 | 9.8 | |
21 days ago | 5 days ago | |
Python | C | |
MIT License | MIT License |
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audiocraft
- [N] MusicGen - Meta's response to Google's MusicLM for text-to-music is freely available for non-commercial usage
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Open Source Libraries
facebookresearch/audiocraft/MUSICGEN: Music Generation
- Audiocraft: a library for audio processing and generation with deep learning.
- Audiocraft is a library for audio processing and generation with deep learning
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Meta Open Sources AudioCraft: Generative AI for Audio
https://github.com/facebookresearch/audiocraft/blob/main/LIC...
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This is not an infinite zoom.
I asked Audiocraft to make me a "chill hip hop beat", I used framesync.xyz to make keyframes for A1111 Deforum extension. Unfortunately, I don't have the settings file anymore, but it was pretty much just a 26s clip at 15fps (440 frames) with a single prompt "a surreal painting by Magritte" and the usual negative prompt magic voodoo. Then, for every clip I used the last frame of the previous clip as init frame. I render at 512x512 and then use ESRGAN4x to upscale to 2048x2048
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[Frostveil Series] A monk channeling its inner Ønd
However, the music was 100% AI-generated by MusicGen.
Music was entirely generated by AI using MusicGen. Video was generated using PhotoVibrance.
- Try Meta's new MusicGen text-to-audio generator here, free, up to 30 seconds in length. | Text Prompt: Van Halen Style Catchy Electric Guitar Melody Hook for intro of song with distortion
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I connected my Roland Digital Piano to GPT and MusicGen...
If you want to know more about MusicGen, https://github.com/facebookresearch/audiocraft
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. It’s 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 – 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
🗣️🎙️ 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?
llama - Inference code for Llama models
faster-whisper - Faster Whisper transcription with CTranslate2
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
bark - 🔊 Text-Prompted Generative Audio Model
audiocraft-infinity-webui
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
gpt-producer
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Stable-Diffusion - Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney
llama.cpp - LLM inference in C/C++