Popular GitHub Repositories for Recordings

Easily create Piper text-to-speech models in any voice. Make a text-to-speech model with your own voice recordings, or use thousands of RVC voices. Works offline on a Raspberry pi. Rapidly record custom datasets for any metadata.csv file and listen to your model as it is training.

Private voice keyboard, AI chat, images, webcam, recordings, voice control with >= 4 GiB of VRAM.

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words into written text, ready to be pasted wherever you need it. This application harnesses the power of OpenAI’s Whisper for free.

Gradio-powered application that converts audio recordings of meetings into transcripts and provides concise summaries using whisper.

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

An offline NextJS application to allow users to locally transcode audio recordings into accurate, plain-text transcripts, then to use large language models to distill insights..

PyScreen is an AI-powered tool that extracts, analyzes, and visualizes data from screen recordings. It leverages advanced computer vision, text processing, and AI techniques to provide valuable insights such as dominant color schemes, frequently used words, and content descriptions using OpenAI's GPT-4 model.

A powerful tool that converts voice recordings into high-quality Anki flashcards using AI-powered transcription and LLM processing, featuring Few-Shot Learning to adapt to your personal style and supporting any language or subject matter.

A CNN model for key estimation in music recordings

An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, with scikit-learn compatibility.

A Python app that converts vocal recordings into MIDI files. Transform your singing into digital music!

Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.

Detect and remove or lower the volume of breathing in speech recordings.

? ScreenDoc: Automate professional documentation generation from screen recordings using AI.

Recordings and transcriptions of ASMR artists compiled for the purpose of training voice synthesizers

ParsiGoo is a Persian multispeaker dataset for text-to-speech purposes. It includes recordings from different speakers and is designed to be used for training and evaluating text-to-speech models.

AutoMeetRec is a Golang-powered tool for automated meeting recording, transcription, and summarization. It captures audio from meetings, transcribes the recordings, and generates concise summaries in txt.

Referencing a Blob Storage (in Azure) containing voice recordings, we want to be able to call the Speech to Text Cognitive Service in Azure to transcribe the respective recordings in parallel (batch), and save the transcript into another Blob Storage container.

A state-of-the-art model that segments and labels audio recordings by accurately distinguishing different speakers. <metadata> gpu: T4 | collections: ["HF Transformers"] </metadata>