PaddleSpeech is a comprehensive toolkit of neural models for speech recognition, synthesis, and translation built on the PaddlePaddle deep learning framework. It provides a collection of frameworks and tools for converting spoken audio into written text, synthesizing natural audio from text, and performing direct speech translation.
The toolkit includes specialized capabilities for keyword spotting to detect trigger words and speaker verification systems that extract unique voiceprints to identify and distinguish between individuals. It also features end-to-end translation tools that map audio features directly to a target language without intermediate transcription.
The system covers a broad range of speech processing tasks, including automatic speech recognition with punctuation restoration, speaker diarization, and audio sound classification. Its synthesis pipeline manages the generation of mel spectrograms and raw audio waveforms, while a streaming inference engine enables real-time processing with low latency.
