Technical Details

What’s This About

This page is intended to give a quick technical overview of synSinger, and explain some implementation details.

The inspiration for synSinger is Software Automatic Mouth, a program originally published in 1982 by Don’t Ask Software (now SoftVoice, Inc.)

The book From text to speech: The MITalk System (Allen, Hunnicutt and Klatt) proved helpful in explaining how formant synthesis works, which inspired me on the initial versions of synSinger.

A Broad Overview

synSinger reads in a MusicXML file, and generates a .wav file as output. It does this by applying the following steps:

  • Extract information from the MusicXML file.
  • Create a list of notes, with the associated lyrics.
  • Convert the lyrics into phonemes.
  • Calculate the timing of the phonemes.
  • Convert phonemes into audio information.
  • Create a .wav file as output

synSinger uses a local copy of the CMU Pronouncing Dictionary to lookup words and convert them to phonemes.

For the few times that a word isn’t found in the CMU Dictionary, it falls back on a public-domain Reciter program to guess what the word should sound like. Reciter has been augmented handle hyphenation and stress markers.

Converting Phonemes into Audio

synSinger started out using a technique called formant synthesis to synthesize an artificial voice. However, it’s recently been rewritten to use a technique called spectral modelling synthesis. This is under heavy development, but in general:

  • A database of phoneme targets is created by performing harmonic analysis using a DFT (Discrete Fourier Transform) and storing the resulting spectral envelope.
  • A spectral envelope is simply a function that, when passed in a frequency of a harmonic, returns the phase and amplitude of that harmonic.
  • Phonemes are reconstructed by performing an iDFT (inverse Discrete Fourier Transform).
  • Speech is approximated by morphing from one phoneme to the next.

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