JeremyCCHsu/Python-Wrapper-for-World-Vocoder

What it solves

PyWORLD is a Python wrapper for the WORLD Vocoder, a high-quality speech synthesis and analysis tool. It allows users to decompose speech into its fundamental components—pitch, spectral envelope, and aperiodicity—and then resynthesize it back into audio, making it easier to integrate these low-level audio processing tasks into Python-based AI and speech workflows.

How it works

The library provides a set of APIs to perform speech analysis (decomposition) and synthesis (reconstruction). It uses the following process:

1. Analysis: It extracts three key parameters from a raw audio signal:
   • f0: The pitch contour (extracted using tools like dio or harvest).
   • sp: The harmonic spectral envelope (extracted via cheaptrick).
   • ap: The aperiodic spectral envelope (relative to the harmonic envelope, extracted via d4c).
2. Synthesis: It uses the synthesize function to combine these three parameters back into a speech utterance.

Who it’s for

Researchers and developers working on speech synthesis, voice conversion, and audio analysis who need a high-performance C++ vocoder implementation accessible via Python.

Highlights

• Fast and high-quality: Based on the WORLD Vocoder for high-fidelity audio reconstruction.
• Simplified API: Provides a utility function wav2world to convert speech to features in a single call.
• C++ Backend: Wraps a high-performance C++ implementation for efficiency.
• Cross-platform: Supports Linux, Windows, and WSL.