Audio recognition CLI written in Rust

EARS: Environmental Audio Recognition System

Classify audio with neural nets on embedded systems like the Raspberry Pi

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

ConvNets for Audio Recognition using Google Commands Dataset

SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow

General purpose, real-time audio recognition engine

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Flutter mobile application for audio recognition using Tensorflow Lite to integrate the classification model

Google Speech Command Dataset Classification Neural Network, CNN, RNN

Transfer learning and fine-tuning with YAMNet

Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.

Redis Audio Track Recognition

📻💡 Recognize audio recordings with node and the acr-cloud recognition API

基于SSM框架的听歌识曲系统

🎵 Audio Fingerprinting Microservice | Shazam-like System A scalable microservice for audio recognition and fingerprinting, implementing Shazam-like functionality using: - Spring Boot backend - Elasticsearch for fast audio pattern matching - Docker containerization - Kafka for event streaming - MinIO for audio storage

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

This code was made in an effort to make it easier to find the song that has been dubbed as 'the most mysterious song on the internet' and it makes it possible to search youtube channels for songs without having to manually check the videos.

Audio classification using Keras with ESC-50 dataset.

Quranic sound recognizer to detect any wrong recitation

Detecting lip popping noises to trigger an action.

Raspberry Pi application that detects music with ML, identifies it using Shazam, and shows the song information on an e-ink display

Vanilla Music player file Metadata Fetch plugin

Minimalist Speech-to-Text toolkit for educational purposes

Python notebooks for training and implementing a convolutional neural network for multi-label classification of sound recordings

This is a simplified replica of Shazam alias Pied Piper starter. You play it a song, it tells you what song it is.

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A Shazam-like application

:musical_note: Audio recognition services API wrapper for Node.js

Audio command recognition by DTW and classification