audio

ComfyUI nodes for Step Audio EditX - State-of-the-art zero-shot voice cloning and audio editing with emotion, style, speed control, and more.

music genre classification : LSTM vs Transformer

🖼【多模态文档预览插件（纯本地版，效果和兼容性更好，可适配存储）】跨平台支持Office(docx/xlsx/pptx) / WPS / iWork / PDF / CAD / 代码文档、图片、视频、音频、压缩包等大部分文件的预览 A local multimodal previewer for most kinds of documents.

📣 Find sentiments, tags, entities, and actions in your voice recordings instantly

OpenAI-compatible multilingual TTS server — Chatterbox on vLLM with real-time PCM audio streaming, low time-to-first-byte (~0.7 s), voice cloning, and 23 languages.

ASRecognition: just an easy-to-use library for Automatic Speech Recognition.

Work in progress - BBC News Labs digital paper edit project - React Client

Generate degraded speech datasets for noise-robust ASR benchmarking

Automatically generate multi-language subtitles using AWS AI/ML services. Machine generated subtitles can be edited to improve accuracy and downstream tracks will automatically be regenerated based on the edits. Built on Media Insights Engine (https://github.com/awslabs/aws-media-insights-engine)

Simple GUI application to help record audio dictated from given text prompts, for use with training speech recognition or speech synthesis.

real time japanese speech recognition translator using wav2vec2

"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.

Code and models for the paper "2D3MF: Deepfake Detection using Multi Modal Middle Fusion"

how to use the Google Cloud Speech API to transcribe audio/video files.

🎙️ Fast CLI tool to transcribe audio/video files to SRT format using OpenAI Whisper API

Docker image for a self-hosted WhisperLive real-time speech-to-text server, powered by faster-whisper. Provides WebSocket streaming for live audio transcription and an OpenAI-compatible REST API. Supports all Whisper models, VAD, NVIDIA GPU (CUDA) acceleration, offline mode, and multi-arch (amd64, arm64).

MediBeng Whisper Tiny improves doctor-patient transcription by training the Whisper Tiny model to translate mixed Bengali-English speech into English, making it easier for analysis, record-keeping, and using AI in healthcare.

Speech2Speech-AIAssistant; A lightweight, offline-capable voice assistant that listens for a wake phrase, converts speech to text, runs local or API-based intent handling, and replies with natural-sounding TTS. Built for quick local deployment, it supports configurable wake words, microphone I/O, and easy integration with custom actions or LLMs.

Streaming ASR, audio captioning and speech QA over a whisper-style encoder with pluggable LLM backends

Python project for Speech-to-Text and Sentiment Analysis. Supports English and German language!