{"id":24746528,"url":"https://github.com/singhvishal003/audio-classification","last_synced_at":"2026-04-26T16:31:41.493Z","repository":{"id":264294380,"uuid":"892630517","full_name":"Singhvishal003/Audio-Classification","owner":"Singhvishal003","description":"Audio classification using Tensorflow.","archived":false,"fork":false,"pushed_at":"2024-11-23T07:25:28.000Z","size":6,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-23T01:25:18.579Z","etag":null,"topics":["matplotlib","tensorflow","tensorflow-gpu","tensorflow-io"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Singhvishal003.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":"2024-11-22T13:31:04.000Z","updated_at":"2024-11-25T05:39:47.000Z","dependencies_parsed_at":"2024-11-23T10:03:58.889Z","dependency_job_id":null,"html_url":"https://github.com/Singhvishal003/Audio-Classification","commit_stats":null,"previous_names":["singhvishal003/audio-classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Singhvishal003/Audio-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Singhvishal003%2FAudio-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Singhvishal003%2FAudio-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Singhvishal003%2FAudio-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Singhvishal003%2FAudio-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Singhvishal003","download_url":"https://codeload.github.com/Singhvishal003/Audio-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Singhvishal003%2FAudio-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32305035,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T09:34:17.070Z","status":"ssl_error","status_checked_at":"2026-04-26T09:34:00.993Z","response_time":129,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["matplotlib","tensorflow","tensorflow-gpu","tensorflow-io"],"created_at":"2025-01-28T04:29:04.642Z","updated_at":"2026-04-26T16:31:41.478Z","avatar_url":"https://github.com/Singhvishal003.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Audio Classification Model\n\n### Overview\nThis project involves building an audio classification model using machine learning techniques. The model is designed to classify audio signals into predefined categories based on their features.\n\n### Dataset\nThe dataset used for training and testing the model consists of labeled audio files. Each audio file is associated with a specific class label, representing the category it belongs to.\n\n### Preprocessing\n1. *Audio Loading*: Audio files are loaded and converted into a consistent format.\n2. *Feature Extraction*: Key features such as Mel-frequency cepstral coefficients (MFCCs), chroma features, and spectral contrast are extracted from the audio signals.\n3. *Normalization*: The extracted features are normalized to ensure uniformity across the dataset.\n\n### Model Architecture\nThe model is built using a deep learning framework, leveraging a convolutional neural network (CNN) for feature learning and classification. The architecture includes:\n- *Input Layer*: Accepts the preprocessed audio features.\n- *Convolutional Layers*: Extracts spatial hierarchies of features.\n- *Pooling Layers*: Reduces the dimensionality of the feature maps.\n- *Fully Connected Layers*: Performs the final classification based on the learned features.\n- *Output Layer*: Produces the probability distribution over the classes.\n\n### Training\nThe model is trained using a supervised learning approach. The dataset is split into training and validation sets. The training process involves:\n- *Loss Function*: Categorical cross-entropy is used as the loss function.\n- *Optimizer*: Adam optimizer is employed to minimize the loss.\n- *Evaluation Metrics*: Accuracy, precision, recall, and F1-score are used to evaluate the model's performance.\n\n### Results\nThe trained model achieves high accuracy on the validation set, demonstrating its effectiveness in classifying audio signals. Detailed performance metrics and confusion matrix are provided in the results section.\n\n### Usage\nTo use the model for audio classification:\n1. *Load the Model*: Load the pre-trained model from the provided file.\n2. *Preprocess Audio*: Preprocess the input audio file to extract features.\n3. *Predict*: Use the model to predict the class of the audio signal.\n\n### Conclusion\nThis audio classification model provides a robust solution for categorizing audio signals. Future work includes exploring more advanced architectures and larger datasets to further improve performance.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsinghvishal003%2Faudio-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsinghvishal003%2Faudio-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsinghvishal003%2Faudio-classification/lists"}