JOURNAL ARTICLE

Enhancement of esophageal speech using formant synthesis.

Kenji MatsuiNoriyo HaraNoriko KobayashiHajime Hirose

Year: 2002 Journal:   Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi Vol: 23 (2)Pages: 69-76   Publisher: Acoustical Society of Japan

Abstract

The feasibility of using the formant analysis-synthesis approach to replace the voicing sources of esophageal speech was explored. Using inverse-filtered signals extracted from normal speakers provided the voicing sources. Pitch extraction was tested with various pitch extraction methods, and then a computationally simple, band-limited auto-correlation method was chosen. To accomplish stable and practical speech enhancement, the input signal was divided into low- and high-frequency channels, then only the low-frequency channel was processed by the formant analysis-synthesis method. A special purpose DSP-hardware unit was designed to perform the proposed analysis-synthesis process in real-time. Subjective evaluation tests (rating scale method) have been made with seven well-trained esophageal speakers and three speech therapists. Results of the subjective test showed that the synthesized speech was significantly improved, especially in cases of "loudness", "sonority", "strained", "stoma noise", "choppy", "stability", "intelligibility", "recognizability", and "duration" features.

Keywords:
Formant Speech recognition Computer science Intelligibility (philosophy) Voice Esophageal speech Vowel

Metrics

32
Cited By
0.37
FWCI (Field Weighted Citation Impact)
8
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Voice and Speech Disorders
Health Sciences →  Medicine →  Physiology
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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