By by Laila Dybkjaer (Editor), Holmer Hemsen (Editor), Wolfgang Minker (Editor)
In its 9 chapters, this publication presents an outline of the cutting-edge and top perform in different sub-fields of overview of textual content and speech structures and elements. The review points coated contain speech and speaker acceptance, speech synthesis, lively conversing brokers, part-of-speech tagging, parsing, and normal language software program like computer translation, info retrieval, query answering, spoken discussion structures, facts assets, and annotation schemes. With its vast insurance and unique contributions this ebook is exclusive within the box of review of speech and language technology.This ebook is of specific relevance to complicated undergraduate scholars, PhD scholars, educational and business researchers, and practitioners.
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Additional info for Evaluation of Text and Speech Systems (Text, Speech and Language Technology)
In Proceedings of the IEEE Workshop on Spontaneous Speech Processing and Recognition, pages 79–82, Tokyo, Japan. Atal, B. (1974). Effectiveness of Linear Prediction Characteristics of the Speech Wave for Automatic Speaker Identification and Verification. Journal of the Acoustical Society of America, 55(6):1304–1312. , and Reynolds, D. (2004). A Tutorial on Text-Independent Speaker Verification. EURASIP Journal on Applied Signal Processing, 2004(4):430–451. Carey, M. J. and Paris, E. S. (1992). Speaker Verification Using Connected Words.
Unfortunately, it is typical to observe in speaker recognition experiments a substantial discrepancy between the best performing individuals, the “sheep”, and the worst, the “goats”. This problem has been widely observed, but there are virtually no studies focusing on the cause of this phenomenon. Speakers with no observable speech pathologies, and for whom apparently good reference models have been obtained, are often observed to be “goats”. It is possible that such speakers exhibit large amounts of trial-to-trial variability, beyond the ability of the system to provide adequate compensation.
And Paris, E. S. (1992). Speaker Verification Using Connected Words. Proceedings of Institute of Acoustics, 14(6):95–100. , editors (1995). Survey of the State of the Art in Human Language Technology. Center for Spoken Language Understanding (CSLU), Oregon, USA. Dix, A. , Finlay, J. , Abowd, G. , and Beale, R. (1998). Human-Computer Interaction. Prentice Hall, London, UK, 2nd edition. Doddington, G. (1974). Speaker Verification. Technical Report RADC 74–179, Rome Air Development Center. , Bernsen, N.