{"id":23279934,"url":"https://github.com/kr1shnasomani/tonesense","last_synced_at":"2026-04-15T10:32:35.693Z","repository":{"id":267512684,"uuid":"901491034","full_name":"kr1shnasomani/ToneSense","owner":"kr1shnasomani","description":"Speech emotion recognition from audio clips using CNN","archived":false,"fork":false,"pushed_at":"2024-12-30T12:04:31.000Z","size":1603,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T13:19:01.987Z","etag":null,"topics":["deep-learning","keras","librosa","matplotlib","neural-network","numpy","pandas","scikit-learn","tensorflow"],"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/kr1shnasomani.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":"2024-12-10T18:53:55.000Z","updated_at":"2025-03-25T05:57:19.000Z","dependencies_parsed_at":"2024-12-18T09:38:57.671Z","dependency_job_id":"46045e77-d3f8-4206-b212-69216cc23cee","html_url":"https://github.com/kr1shnasomani/ToneSense","commit_stats":null,"previous_names":["kr1shnasomani/speech-emotion-recognition","kr1shnasomani/tonesense"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kr1shnasomani%2FToneSense","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kr1shnasomani%2FToneSense/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kr1shnasomani%2FToneSense/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kr1shnasomani%2FToneSense/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kr1shnasomani","download_url":"https://codeload.github.com/kr1shnasomani/ToneSense/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247485296,"owners_count":20946399,"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":["deep-learning","keras","librosa","matplotlib","neural-network","numpy","pandas","scikit-learn","tensorflow"],"created_at":"2024-12-19T23:19:43.987Z","updated_at":"2026-04-15T10:32:35.678Z","avatar_url":"https://github.com/kr1shnasomani.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003eToneSense\u003c/h1\u003e\n\u003cp align=\"center\" style=\"margin-top:30px;\"\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/7358a08c-5d57-4bec-98c8-dfbb28733604\" height=\"150cm\"/\u003e\n\u003c/p\u003e\nThe project leverages Librosa for audio feature extraction, including MFCCs and spectral features and uses TensorFlow to develop a deep learning model for classifying emotions like happiness, sadness and anger. It incorporates spectrogram analysis for visual insights and supports real-time emotion recognition for practical applications.\n\n## Execution Guide:\n1. Clone the repository:\n   ```\n   git clone https://github.com/kr1shnasomani/ToneSense.git\n   cd ToneSense\n   ```\n\n2. Download the dependencies:\n   ```\n   pip install -r requirements\n   ```\n\n3. Run the code and it will save the model with the name `model.keras`\n\n## Accuracy \u0026 Loss Over Epochs:\n\n![image](https://github.com/user-attachments/assets/e338a8ab-2a28-48ed-869a-ef683602cbc5)\n\n![image](https://github.com/user-attachments/assets/95158724-54a8-4734-a009-72510c038877)\n\n## Model Prediction:\n\n   Input (the file is in `.mp4` format as GitHub doesn't support audio files):\n   \n   https://github.com/user-attachments/assets/d74d7fdf-802e-4742-8cde-9e434c969e32\n\n   Output:\n   \n   ![image](https://github.com/user-attachments/assets/1609e53a-ac10-46f6-8ddd-c413baddc4d1)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkr1shnasomani%2Ftonesense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkr1shnasomani%2Ftonesense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkr1shnasomani%2Ftonesense/lists"}