bark.cpp
whisper.cpp
| bark.cpp | whisper.cpp | |
|---|---|---|
| 4 | 187 | |
| 564 | 31,817 | |
| - | - | |
| 8.1 | 9.8 | |
| 7 days ago | about 24 hours ago | |
| C++ | C | |
| MIT License | MIT License |
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bark.cpp
- Show HN: I ported Suno AI's Bark model in C for fast realistic audio generation
- Bark.cpp: Port of Suno AI's Bark in C/C++ for fast inference
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Meta's Segment Anything written with C++ / GGML
Another GGML model port that I'm pretty excited about is https://github.com/PABannier/bark.cpp.
The Bark python model is very compute intensive and require a powerful GPU to get bearable inference speed. I really hope that bark.cpp with GPU/Metal support and quanticized model can bring useful inference speed on a laptop in the near future.
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
-
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?
sam.cpp
faster-whisper - Faster Whisper transcription with CTranslate2
Queryable - Run OpenAI's CLIP model on iOS to search photos.
bark - 🔊 Text-Prompted Generative Audio Model
aub.ai - AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
llm - An ecosystem of Rust libraries for working with large language models
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
vit.cpp - Inference Vision Transformer (ViT) in plain C/C++ with ggml
llama.cpp - LLM inference in C/C++