基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
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Updated
Jul 24, 2024 - Python
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
NSMusicS,Multi platform Multi mode Music Software ,Electron(Vue3+Vite+TypeScript)+.net core+AI
Phyton based video content Analysis Using OpenCv,Facial landmarks etc
The objective of this DLM (Deep Learning Model) is to recognize the emotions from speech.
This project builds a system to split spoken sentences into words (speaker-independent) and calculates the speaker's average pitch, comparing different methods to identify word boundaries.
Quran Recitation Audio Classification project aims to classify different recitations of the Quran using machine learning techniques. It involves preprocessing audio data, extracting features, training models, and evaluating their performance
This script synchronizes video and audio files using ffmpeg and performs automatic synchronization using audio signal analysis. It can delay or advance the audio to match the video based on the specified parameters.
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument.
This repository contains the code and methodology used for the BirdCLEF 2024 Kaggle competition, where I achieved a rank of 55th out of 974 participants, earning a bronze medal. The goal of this competition was to build a model that can accurately classify bird sounds.
a web application that detects emotions in images and videos and also in real-time (with OpenCV).
Python Script to suggest the volume at which the music audio file needs to be played for better experience and feeling.
Classifying the genre of a music using deep neural networks.
Whole Audio Visualization in Python with multiple diagrams in streamlit.
Multimodal Emotion Recognition System
This project provides analysis of respiratory sound files for respiration related disease using Librosa. We have applied 3 different layers of CNN and combined them to a dense network.
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