Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique

Raspberry Pi I2S Stereo Microphone Analyses in Python

Repo of my Master Thesis in Pompeu Fabra University: Harmonic Compatibility for Loops in Electronic Music (demo website might take a little bit to load)

🐍 🔉 | Audio convolution with python

End-to-end pipeline for training a custom keyword detection model with TensorFlow & TFLite expor

This project automates audio processing by removing silence, transcribing speech to text, and storing the output in an SQLite database. It supports multiple audio formats and leverages Google Speech Recognition for high accuracy.

A simple python script that recursively searches for files and transforms them to mp3, using ffmpeg.

QuadMic Python Scripts for 4-microphone array audio analysis

This Python script is for a voice interface chatbot named Jervis. It uses OpenAI's GPT-3.5-turbo-instruct model to respond to user input. The chatbot responds by Elevenlabs Voices. Conversation are saved to MongoDB, and MP3 file local and can be emailed if needed.

Convenience functions for commonly used digital signal processing plots.

A sophisticated web application that identifies bird species from audio recordings using deep learning. Features multiple neural network models (MobileNetV2/VGG16), real-time audio visualization, and window-based analysis system. Built with Flask, TensorFlow, and Librosa.

e-yantra robotics competetion audio processing with python

Conversation-Mixer-Tool: A Python utility to merge two audio files (caller and receiver) into a seamless, conversation-like output. Features include speech detection, bandpass filtering, noise reduction, and smooth audio transitions.

Multimedia context generation tool using off-the-shelf components. Leverages several local ML/AI tools to accomplish transcription, context clues, and llm-driven tasks. Designed with extensibility in mind. Dataset preparation tool. Adds context to video and audio inputs.

🛡️ Advanced Voice Authentication System using OpenAI ChatGPT & Whisper APIs. Secure voice biometric identification with AI-powered analysis, multi-sample enrollment, and enterprise-grade authentication logging. Python-based with SQLite database.

Scripts to convert audio files to spectrograms and back.

An intelligent speech recognition system that combines OpenAI's Whisper for accurate transcription with dual emotion detection models. Analyzes both audio characteristics (tone, pitch, intensity) and textual content to provide comprehensive emotional context alongside transcriptions.

Terminal-based voice logger with real-time playback and optional compression -- built for fast feedback, idea capture, and speech awareness.

🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's Whisper and emotion analysis for deeper insights.