{"adoption": {"forks": 99, "observed_at": "2026-09-03T02:15:06.754031+00:00", "stars": 1004}, "canonical_url": "https://ross.abutalabs.com/products/natspeech", "card": {"archived": false, "artifact_type": "framework", "description": "A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)", "domain": ["speech-processing", "machine-learning", "deep-learning"], "enriched": true, "function": ["tts", "machine-learning", "deep-learning", "audio-processing"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["NATSpeech/NATSpeech"], "name": "NATSpeech/NATSpeech", "platform": ["python"], "pushed_at": "2023-04-02T00:55:24+00:00", "repo": "NATSpeech/NATSpeech", "stars": 1004, "tags": ["text-to-speech", "non-autoregressive", "pytorch", "diffusion", "portaspeech", "diffspeech", "speech-synthesis", "research-code", "audio", "linux", "gpu"], "topics": ["speech-synthesis", "pytorch", "tts", "speech", "huggingface", "portaspeech", "diffsinger", "diffspeech"], "urls": [], "use_cases": ["synthesize speech from text with a non-autoregressive TTS model", "train a PortaSpeech text-to-speech model", "run DiffSinger singing voice synthesis", "reproduce NeurIPS/AAAI TTS paper results", "build a custom TTS training pipeline in PyTorch", "use pretrained TTS models from Hugging Face"], "what_it_is": "A PyTorch framework for non-autoregressive text-to-speech (NAR-TTS), containing official implementations of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022). It provides data processing with Montreal Forced Aligner, training, and inference pipelines.", "when_to_avoid": ["you need a production-ready, actively maintained TTS system", "you want autoregressive or latest large-scale TTS models", "you need Windows or macOS support without extra setup"], "when_to_choose": ["you need official implementations of PortaSpeech or DiffSpeech for research", "you want a trainable non-autoregressive TTS framework in PyTorch", "you need forced-alignment-based data prep for TTS"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/natspeech", "repo": "NATSpeech/NATSpeech", "role": "main", "score": 23}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-09-03T02:15:06.754031+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:13:42.226783+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c5bf43744ad1a65c6b475a5ed8ffffb6bd6d6d0e7dba5272f3e52becab987753", "fetched_at": "2026-09-03T02:15:06.754031+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NATSpeech/NATSpeech"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1662, "days_push": 1250, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 23, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 3, "stale_scrape": false}}