Lin, W.-Y.W.-Y.LinLIN-SHAN LEE2020-06-112020-06-112003https://scholars.lib.ntu.edu.tw/handle/123456789/498661https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547546161&doi=10.1109%2fASRU.2003.1318447&partnerID=40&md5=3d067ad24336661620aaeb74b0104dc4Tone recognition for fluent Mandarin speech has always been a very difficult problem, because the pitch contours vary seriously with the context conditions and the complicated tone behavior is difficult to analyze. In this paper, a new set of four inter-syllabic features are identified to characterize quantitatively such pitch contour variation with respect to the context conditions. In addition, a robust pitch extraction method is proposed by integrating the Adaptive Gabor Representation (AGR) and Instantaneous Frequency Amplitude Spectrum (IFAS). Experimental results indicate that accurate pitch values can be extracted under various noisy conditions, and the tone recognition accuracy can be improved significantly. © 2003 IEEE.[SDGs]SDG4Continuous speech recognition; Extraction; Instantaneous frequency amplitude spectrum; Noisy conditions; Pitch contours; Pitch extraction; Pitch values; Tone recognition; Speech recognitionconference paper10.1109/ASRU.2003.13184472-s2.0-34547546161