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

Training pipeline for an osu!mania 7k next-event model, designed as the upstream predictor for audio-driven 7k map generation systems.

Raspberry Pi I2S Stereo Microphone Analyses in Python

FYP project of Gerald Lau, submitted to the Nanyang Technological University in partial fulfillment of the requirements for the Degree of Bachelor of Engineering (Computer Science). An application to embed links into the audio track of videos, using audio watermarking and audio fingerprinting technology.

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)

Advanced speaker identification and verification system using deep learning. Features emotion recognition, language detection, and anti-spoofing capabilities for secure voice authentication applications.

Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents

🛡️ 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.

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.

Convenience functions for commonly used digital signal processing plots.

🐍 🔉 | Audio convolution with python

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

DSP-based audio denoising with quantitative evaluation using RMS energy, crest factor, peak-to-RMS metrics, and time–frequency analysis.

🔒 Enhance security with VoiceGuard, an AI-driven voice authentication system powered by OpenAI’s ChatGPT and Whisper for reliable voice identification.

High Accuracy model which listens to voices and classifies it as Ai or Real

AI system that analyzes urban soundscapes to optimize city planning, reduce noise pollution, and enhance acoustic environments using audio deep learning.

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.

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

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.