{"id":"paddlepaddle-paddlespeech","name":"PaddleSpeech","homepage":"https://paddlespeech.readthedocs.io","repo_url":"https://github.com/PaddlePaddle/PaddleSpeech","category":"ai-ml","subcategories":[],"tags":["speech","audio","asr","tts","streaming","punctuation-restoration","speaker-verification","keyword-spotting","speech-translation","pytorch-compatible-models","python","open-source"],"what_it_does":"PaddleSpeech is an open-source Python toolkit for building speech/audio systems. It provides training, inference, and deployment modules for tasks such as speech recognition (including streaming ASR), text-to-speech (including streaming TTS), punctuation restoration, speaker verification, keyword spotting, speech translation, audio classification, and related speech frontends (e.g., Chinese text normalization/G2P).","use_cases":["Offline or batch ASR with punctuation restoration","Streaming ASR/TTS server deployments (production-style demos)","Text-to-speech synthesis with multiple model types (including ONNX support mentioned)","Speaker verification (VPR/SVS-related pipelines)","Speech translation (English-to-Chinese demo shown)","Keyword spotting and audio classification","Research/prototyping for speech pipelines (cascaded models across NLP/CV)"],"not_for":["High-confidence compliance-critical transcription without additional evaluation/controls","Managed/hosted SaaS usage requiring simple turnkey REST API access (it is primarily a toolkit)","Environments needing strict enterprise security guarantees without reviewing model/artifact download and server hardening"],"best_when":"You want an open-source, extensible speech ML toolkit with model implementations, CLIs, and server-style demos for building your own ASR/TTS/related pipelines.","avoid_when":"You need a turnkey, authenticated hosted API with clear SLAs, or you cannot install/run Python dependencies and model artifacts in your environment.","alternatives":["Mozilla DeepSpeech (ASR-focused)","Coqui TTS (TTS-focused)","NVIDIA NeMo (speech/ASR/TTS/translation)","ESPnet (end-to-end speech toolkits)","Kaldi (ASR toolkit; more low-level)","Whisper/open-source ASR implementations (general ASR)"],"af_score":39.5,"security_score":20.0,"reliability_score":32.5,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T13:22:04.547925+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["None for local CLI/toolkit usage (implied); server authentication not evidenced in provided README excerpt"],"oauth":false,"scopes":false,"notes":"The README excerpt emphasizes local installation plus CLI/server demos, but does not document an authentication scheme or authorization model for any network endpoints."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Open-source toolkit; costs are primarily compute/storage and model download/inference engineering rather than API pricing."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":39.5,"security_score":20.0,"reliability_score":32.5,"mcp_server_quality":0.0,"documentation_accuracy":60.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":0.0,"auth_strength":0.0,"scope_granularity":0.0,"dependency_hygiene":40.0,"secret_handling":70.0,"security_notes":"Security signals from the provided content are limited. It is an open-source local toolkit (no auth shown). For any server usage, TLS/auth/rate limiting are not documented in the excerpt, so network hardening must be handled by the deployer. As with many ML toolkits, dependency/version review is important to reduce supply-chain risk; the excerpt does not provide CVE posture or pinning details.","uptime_documented":0.0,"version_stability":55.0,"breaking_changes_history":40.0,"error_recovery":35.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["This is primarily a library/toolkit, not a documented API gateway; agent integration may require understanding CLI/server command contracts and local file I/O.","Model downloads and preprocessing steps (audio formats, sampling rates, text normalization) may be prerequisites that are not captured in the README excerpt.","If using server demos, authentication/rate-limit behaviors are not evidenced here; agents may need to implement their own backoff/retry logic."]}}