{"id":"paddlepaddle-paddlespeech","name":"PaddleSpeech","af_score":39.5,"security_score":20.0,"reliability_score":32.5,"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).","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.","last_evaluated":"2026-03-29T13:22:04.547925+00:00","has_mcp":false,"has_api":false,"auth_methods":["None for local CLI/toolkit usage (implied); server authentication not evidenced in provided README excerpt"],"has_free_tier":false,"known_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."],"error_quality":0.0}