WebChatRWKVstic
ChatGPT-like Web UI for RWKVstic (by hizkifw)
whisper.cpp
Port of OpenAI's Whisper model in C/C++ (by ggerganov)
| WebChatRWKVstic | whisper.cpp | |
|---|---|---|
| 1 | 187 | |
| 93 | 31,649 | |
| - | - | |
| 10.0 | 9.8 | |
| about 1 year ago | 6 days ago | |
| Python | C | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
WebChatRWKVstic
Posts with mentions or reviews of WebChatRWKVstic.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-21.
whisper.cpp
Posts with mentions or reviews of whisper.cpp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-31.
-
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.
--
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.
-
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.
-
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
-
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
-
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
-
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?
When comparing WebChatRWKVstic and whisper.cpp you can also consider the following projects:
simple-llm-finetuner - Simple UI for LLM Model Finetuning
faster-whisper - Faster Whisper transcription with CTranslate2
FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.
bark - 🔊 Text-Prompted Generative Audio Model
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
minimal-llama
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
OpenChatKit
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
alpaca-lora - Instruct-tune LLaMA on consumer hardware
llama.cpp - LLM inference in C/C++
WebChatRWKVstic vs simple-llm-finetuner
whisper.cpp vs faster-whisper
WebChatRWKVstic vs FlexGen
whisper.cpp vs bark
WebChatRWKVstic vs text-generation-webui
whisper.cpp vs Whisper
WebChatRWKVstic vs minimal-llama
whisper.cpp vs whisper
WebChatRWKVstic vs OpenChatKit
whisper.cpp vs whisperX
WebChatRWKVstic vs alpaca-lora
whisper.cpp vs llama.cpp