StyleTTS2
whisper.cpp
| StyleTTS2 | whisper.cpp | |
|---|---|---|
| 7 | 187 | |
| 4,124 | 31,649 | |
| - | - | |
| 8.6 | 9.8 | |
| about 1 month ago | 6 days ago | |
| Python | C | |
| MIT License | MIT License |
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StyleTTS2
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Hello guys, any selfhosted alternative to eleven labs?
Take a look at StyleTTS2
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Robot Dad
Love it OP!
Check out https://github.com/yl4579/StyleTTS2
For your local voice cloning needs.
HN discussion here https://news.ycombinator.com/item?id=38335255
Funny I’ve been talking about cloning my dad for a while in this same fashion. Thanks for the inspiration.
- FLaNK Stack Weekly for 20 Nov 2023
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
To save people some time, this is tested on Ubuntu 22.04 (google is being annoying about the download link, saying too many people have downloaded it in the past 24 hours, but if you wait a bit it should work again):
git clone https://github.com/yl4579/StyleTTS2.git -
Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
You're in luck, the code dropped 6 hours ago :) https://github.com/yl4579/StyleTTS2
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?
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
faster-whisper - Faster Whisper transcription with CTranslate2
piper - A fast, local neural text to speech system
bark - 🔊 Text-Prompted Generative Audio Model
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
FLaNK-EveryTransitSystem - Every transit system
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
llama.cpp - LLM inference in C/C++