rknpu2
whisper.cpp
| rknpu2 | whisper.cpp | |
|---|---|---|
| 5 | 187 | |
| 574 | 32,188 | |
| 1.7% | - | |
| 4.1 | 9.8 | |
| 6 months ago | 4 days ago | |
| C | C | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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rknpu2
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Fail to use npu on orange pi 5
I tried to use npu on orange pi 5.I used rknn_toolkit_lite2-1.5.2 from https://github.com/rockchip-linux/rknpu2. Could someone tell me why it doesn't work?
- A PCIe Coral TPU Finally Works on Raspberry Pi 5
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Ideas for Orange Pi 5 Plus?
Ah ok. One of the challenges I’m facing is no mtop type tool to see the NPU resources that exist or being used. I just have this to go by. I haven’t tried the “rknn toolkit” yet though.
- OPI 5B deep learning
- Accessing the NPU on the orange pi
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?
rknn-toolkit2
faster-whisper - Faster Whisper transcription with CTranslate2
llama.cpp - LLM inference in C/C++
bark - 🔊 Text-Prompted Generative Audio Model
ubuntu-rockchip - Ubuntu 22.04 and 24.04 for Rockchip RK35XX Devices
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
rknn-multi-threaded - A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
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)
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.