{"adoption": {"forks": 314, "observed_at": "2026-08-28T04:03:59.674762+00:00", "stars": 1208}, "canonical_url": "https://ross.abutalabs.com/products/end-to-end-asr-pytorch", "card": {"archived": false, "artifact_type": "library", "description": "This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.", "domain": ["speech-processing", "machine-learning", "deep-learning"], "enriched": true, "function": ["speech-recognition", "machine-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["Alexander-H-Liu/End-to-end-ASR-Pytorch"], "name": "Alexander-H-Liu/End-to-end-ASR-Pytorch", "platform": ["python"], "pushed_at": "2020-12-19T07:53:25+00:00", "repo": "Alexander-H-Liu/End-to-end-ASR-Pytorch", "stars": 1208, "tags": ["asr", "pytorch", "listen-attend-spell", "ctc", "seq2seq", "beam-search", "gpu"], "topics": [], "urls": [], "use_cases": ["train an end-to-end speech recognition model in pytorch", "implement listen attend and spell ASR", "build a CTC-based speech recognizer", "run beam search decoding for ASR", "train an RNN language model for joint ASR decoding", "experiment with subword tokenization for speech recognition"], "what_it_is": "A PyTorch implementation of end-to-end automatic speech recognition (ASR), formerly known as Listen, Attend and Spell. It supports seq2seq and CTC-based models with techniques like subword encoding, RNN language models, and joint CTC-attention decoding.", "when_to_avoid": ["you need a production-ready, actively maintained ASR system", "you want pretrained models or a simple inference API without training", "you lack a high-end GPU, which is required for training"], "when_to_choose": ["you want a research-oriented PyTorch codebase for end-to-end ASR", "you need seq2seq, CTC, or hybrid CTC-attention speech recognition models", "you want on-the-fly feature extraction with torchaudio and TensorBoard visualization"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/end-to-end-asr-pytorch", "repo": "Alexander-H-Liu/End-to-end-ASR-Pytorch", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:59.674762+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:18:38.009556+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "591efb09c9e267f5c907ebf162055171439eca53acd579d8e576cb20604f2086", "fetched_at": "2026-08-28T04:03:59.674762+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3190, "days_push": 2083, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}