{"data":{"slug":"pannous-tensorflow-speech-recognition","name":"tensorflow-speech-recognition","tagline":"Speech recognition using TensorFlow deep learning framework","github_url":"https://github.com/pannous/tensorflow-speech-recognition","owner":"pannous","repo":"tensorflow-speech-recognition","owner_avatar_url":"https://avatars.githubusercontent.com/u/516118?v=4","primary_language":"Python","stars":2173,"forks":631,"topics":["deep-learning","neural-network","speech-recognition","speech-to-text","stt","tensorflow"],"archived":false,"github_pushed_at":"2024-01-17T14:27:13+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/pannous-tensorflow-speech-recognition","markdown_url":"https://www.graphcanon.com/tools/pannous-tensorflow-speech-recognition.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pannous-tensorflow-speech-recognition","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pannous-tensorflow-speech-recognition","description":"🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks","homepage_url":null,"license":"Other","open_issues":33,"watchers":181,"ai_summary":"This repository provides speech-to-text functionality utilizing sequence-to-sequence neural networks and the TensorFlow deep-learning framework.","readme_excerpt":"## Getting started\n\nToy examples:\n`./number_classifier_tflearn.py`\n`./speaker_classifier_tflearn.py`\n\nSome less trivial architectures:\n`./densenet_layer.py`\n\nLater:\n`./train.sh`\n`./record.py`\n\n\n\n\n\nUpdate: Nervana [demonstrated](https://www.youtube.com/watch?v=NaqZkV_fBIM) that it is possible for 'independents' to build speech recognizers that are state of the art.","github_created_at":"2015-12-07T10:02:43+00:00","created_at":"2026-07-11T12:17:29.841045+00:00","updated_at":"2026-07-30T18:00:07.542852+00:00","categories":[{"slug":"speech-audio","name":"Speech & Audio","url":"https://www.graphcanon.com/categories/speech-audio","markdown_url":"https://www.graphcanon.com/categories/speech-audio.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/speech-audio"}],"tags":[{"slug":"deep-learning","name":"deep-learning"},{"slug":"neural-network","name":"neural-network"},{"slug":"python","name":"python"},{"slug":"sequence-to-sequence","name":"sequence-to-sequence"},{"slug":"speech-recognition","name":"speech-recognition"},{"slug":"stt","name":"stt"},{"slug":"tensorflow","name":"tensorflow"}],"trust":{"provenance":{"is_fork":false,"github_id":47544193,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-30T18:00:06.506Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":925,"last_release_at":null},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:17:31.478Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-30T18:00:06.978Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-30T18:00:06.978Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-07-30T18:00:06.978Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"The repository itself is free and open-source under the 'Other' license, but users should consider potential costs associated with running TensorFlow on their infrastructure."},"requirements":{"notes":["Requires Python environment setup including TensorFlow"],"min_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you need to integrate speech-to-text capabilities leveraging the advanced capabilities of TensorFlow for optimal accuracy","To benefit from less trivial architectures such as 'densenet_layer.py' for more sophisticated tasks beyond basic classification","For developing toy examples like number or speaker classifiers in your project"],"when_not_to_use":["If real-time performance is a priority, due to its computational demands from TensorFlow's deep-learning models","When aiming to use a lightweight model for embedded systems with limited processing power, as it relies heavily on TensorFlow which can be resource-intensive"],"source":"enrich:decision_facts","observed_at":"2026-07-17T02:10:45.517Z"},"constraint_facets":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - The repository itself is free and open-source under the 'Other' license, but users should consider potential costs associated with running TensorFlow on their infrastructure."},{"label":"Requirements","value":"Min 4 GB RAM; 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