Paper Info
Title
Improved Cantonese Tone Recognition with Approximated F0 Contour: Implications for Cochlear Implants
Abstract
This paper describes a periodicity-enhancement strategy which can be used to improve lexical tone perception for cochlear implant (CI) users. We focus on Cantonese, a major Chinese dialect with complex tone system. Acoustical simulations were tested with normal-hearing subjects. Temporal envelope and periodicity components (TEPC) below 500 Hz were extracted from four frequency bands. Stimuli were the combination of TEPC-modulated noises from sub-bands. For enhancement, the original temporal periodicity cues between 20 and 500 Hz were simplified by a sinusoidal wave whose frequency was equal to the exact fundamental frequency (F0) of the original speech or a linearly approximated F0. Tone identification tests were conducted using Cantonese disyllabic words. Results showed that tone scores with periodicity-enhanced TEPCs were significantly higher than the original ones. The approximated F0 contour provides similar tone perception performance to the exact F0 contour, indicating that exact F0 is unnecessary for the periodicity-enhancement strategy in CIs.
Year
DOI
Venue
2010
10.1109/IALP.2010.43
IALP
Keywords
Field
DocType
f0 contour,sinusoidal wave,exact fundamental frequency,speech processing,cantonese disyllabic words,improved cantonese tone recognition,temporal periodicity,cochlear implants,temporal envelope,speech recognition,cochlear implants periodicity enhancement strategy,approximated f0 contour,lexical tone perception,normal hearing subject,tone identification test,similar tone perception performance,periodicity-enhancement strategy,acoustical simulation,fundamental frequency,exact f0,cochlear implant,temporal envelopeand periodicity component,natural language processing,tone score,tone,complex tone system,handicapped aids,frequency band,linear approximation,acoustics,noise,speech
Linear approximation,Speech processing,Fundamental frequency,Pattern recognition,Computer science,Tone recognition,Speech recognition,Cochlear implant,Artificial intelligence,Perception,Sine wave
Conference
ISBN
Citations 
PageRank 
978-1-4244-9063-9
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Meng Yuan1174.91
Haihong Feng201.35
Tan Lee347674.69