Port of OpenAI's Whisper model in C/C++
-
Updated
Dec 18, 2024 - C++
Port of OpenAI's Whisper model in C/C++
Faster Whisper transcription with CTranslate2
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Open source real-time translation app for Android that runs locally
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Production First and Production Ready End-to-End Speech Recognition Toolkit
On-device Speech Recognition for Apple Silicon
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Framework for serverless Decentralized Applications using Ethereum, IPFS and other platforms
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
ChatGPT Java SDK支持流式输出、Gpt插件、联网。支持OpenAI官方所有接口。ChatGPT的Java客户端。OpenAI GPT-3.5-Turb GPT-4 Api Client for Java
.NET library for the OpenAI service API by Betalgo Ranul
Add a description, image, and links to the whisper topic page so that developers can more easily learn about it.
To associate your repository with the whisper topic, visit your repo's landing page and select "manage topics."