{"id":19623453,"url":"https://github.com/palak-463/tablataalrecognitionsystem","last_synced_at":"2026-04-11T14:02:51.207Z","repository":{"id":214365893,"uuid":"736313365","full_name":"palak-463/TablaTaalRecognitionSystem","owner":"palak-463","description":"Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️","archived":false,"fork":false,"pushed_at":"2024-09-14T09:54:54.000Z","size":3780,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-09T11:51:12.684Z","etag":null,"topics":["cnn","deep-learning","flask","fnn","librosa","numpy","os","pickle","python","scikit-learn"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/palak-463.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-12-27T15:08:36.000Z","updated_at":"2024-09-16T13:42:35.000Z","dependencies_parsed_at":"2024-11-11T11:36:09.037Z","dependency_job_id":null,"html_url":"https://github.com/palak-463/TablaTaalRecognitionSystem","commit_stats":null,"previous_names":["palak-463/classification-of-classical-indian-music-tabla-taals-using-deep-learning","palak-463/classificationofclassicalindianmusictablataalsusingdeeplearning","palak-463/tablataalrecognitionsystem"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/palak-463%2FTablaTaalRecognitionSystem","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/palak-463%2FTablaTaalRecognitionSystem/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/palak-463%2FTablaTaalRecognitionSystem/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/palak-463%2FTablaTaalRecognitionSystem/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/palak-463","download_url":"https://codeload.github.com/palak-463/TablaTaalRecognitionSystem/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240919929,"owners_count":19878701,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cnn","deep-learning","flask","fnn","librosa","numpy","os","pickle","python","scikit-learn"],"created_at":"2024-11-11T11:33:46.903Z","updated_at":"2025-12-30T21:24:48.595Z","avatar_url":"https://github.com/palak-463.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🥁 Tabla Taal Recognition System\r\n\r\nThe **Tabla Taal Recognition System** is an advanced research project focusing on the recognition and classification of Classical Indian Music **Tabla Taals**. The system identifies renowned Taals like **Addhatrital, Ektal, Rupak, Dadra, Deepchandi, Jhaptal, Trital,** and **Bhajani**. By using machine learning models, including **Feedforward Neural Networks (FNN)** and **Convolutional Neural Networks (CNN)**, the system effectively analyzes and categorizes complex rhythmic patterns in Indian Classical Music. \r\n\r\n\u003cbr\u003e\r\n\r\n## 🎯 System Overview\r\n\r\nThis system uses a **Graphical User Interface (GUI)** where users can upload audio files containing Tabla performances. Once uploaded, the system processes the audio, recognizes the Taal, and displays the classification result.\r\n\r\n\u003cbr\u003e\r\n\r\n## 🔑 Working\r\n\r\n- **Taal Recognition**: Efficient recognition of various classical **Tabla Taals**.\r\n- **Machine Learning Models**: Uses **FNN** and **CNN** for high-accuracy Taal classification.\r\n- **GUI for Easy Interaction**: Provides a simple and user-friendly interface for uploading and analyzing audio files.\r\n- **Dataset Training**: Trained on a large set of Classical Indian Music recordings for robust and accurate results.\r\n\r\n\u003cbr\u003e\r\n\r\n## 📋 System Flow\r\n\r\n1. **User Input**: The user uploads an audio file through the **GUI**.\r\n2. **Audio Processing**: The audio file is processed to extract relevant features.\r\n3. **Model Prediction**:\r\n   - **FNN and CNN** models are used to predict the Taal.\r\n4. **Result Display**: The system displays the recognized Taal on the interface.\r\n\r\n\u003cbr\u003e\r\n\r\n## ✨ Technologies Used\r\n\r\n| Frontend and Backend | \r\n|----------------------|\r\n| **Python**           | \r\n\r\n\u003cbr\u003e\r\n\r\n## 🚀 Features\r\n\r\n- 🥁 **Taal Classification**: Categorizes various Classical Indian Music Tabla Taals.\r\n- 📊 **FNN \u0026 CNN**: Utilizes state-of-the-art **Feedforward** and **Convolutional Neural Networks** for analysis.\r\n- 🎛️ **User-Friendly Interface**: Simple interface for uploading audio files and viewing results.\r\n- 📈 **Accurate Results**: Highly accurate recognition through a trained model on Indian Classical Music data.\r\n\r\n\u003cbr\u003e\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpalak-463%2Ftablataalrecognitionsystem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpalak-463%2Ftablataalrecognitionsystem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpalak-463%2Ftablataalrecognitionsystem/lists"}