audio-processing-with-python

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

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

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.

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

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.

Akasha audio utilities for exploring DSP algorithms

🐍 🔉 | Audio convolution with python

e-yantra robotics competetion audio processing with python

ROS2 audio recording package with MCAP rosbag support. Extract audio to WAV/MP3 and images to video from multi-sensor rosbags.

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

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)

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

Audio tagging is the process of inferring descriptive labels from audio clips (Multi label classification task). This repository contains exploratory code/scripts for audio preprocessing and model fitting for the task of audio tagging and its applications.

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

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

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.

Interactive AI platform for public speaking and impromptu speech practice with multi-metric audio evaluation, real-time feedback, and personalized AI coaching.