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Speech synthesis using damped sinusoids.

James M Hillenbrand¹, Robert A Houde

¹Department of Speech Pathology and Audiology, Western Michigan University, Kalamazoo 49008, USA. james.hillenbrand@wmich.edu

Journal of Speech, Language, and Hearing Research : JSLHR

|August 30, 2002

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This study introduces a novel speech synthesizer using damped sinusoids based on spectral analysis. The resulting synthesized speech demonstrates high intelligibility for sentences and vowels, and fair intelligibility for consonants.

Area of Science:

Speech synthesis
Digital signal processing
Acoustic phonetics

Background:

Traditional speech synthesis methods often struggle with naturalness and intelligibility.
Accurate spectral analysis is crucial for realistic speech signal reconstruction.

Purpose of the Study:

To develop and evaluate a novel speech synthesizer utilizing exponentially damped sinusoids.
To investigate the effectiveness of spectral envelope analysis and a lateral suppression simulation for speech synthesis.

Main Methods:

Speech signals were analyzed to derive spectrum envelopes, which were then masked.
A damped sinewave synthesizer was implemented, summing sinusoids at masked spectral peak frequencies.
Voiced and unvoiced speech segments were synthesized using fundamental period and random pulsing, respectively.

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Main Results:

The damped sinewave synthesizer achieved excellent sentence intelligibility.
High intelligibility was observed for vowels within /hVd/ syllables.
Fair intelligibility was noted for consonants in consonant-vowel (CV) nonsense syllables.

Conclusions:

The damped sinewave synthesis approach offers a viable method for generating intelligible speech.
Spectral envelope processing, including simulated lateral suppression, contributes to effective speech reconstruction.
Further refinement may improve consonant intelligibility in synthesized speech.