منابع مشابه
Language training system utilizing speech modification
In this paper, a computer assisted language training system, focusing on speech input and output, is described. The system is intended to help students of foreign language (typically Japanese or English) to improve their pronunciation, with an emphasis on prosodic features of speech. The system incorporates a combination of speech processing techniques, in order to analyze the input speech, and...
متن کاملthe effects of speech rate,prosodic features, and blurred speech on iranian efl learners listening comprehension
کلید واژه ها به زبان انگلیسی: effect of speech rate on listening comprehension, blurred speech,segmental and suprasegmental features,authentic speech,intelligibility, discrimination, omission, assimilation چکیده: سرعت مطالب شنیداری در کلام پیوسته بطور کلی همواره کابوسی بوده برای یادگیرنده های زبان دوم و بالاخص برای شنوندگان ایرانی. علی رغم عقل سلیم که کلام با سرعت کندتری فعالیتهای درک مطلب شن...
15 صفحه اولUsing Audio Books for Training a Text-to-Speech System
Creating new voices for a TTS system often requires a costly procedure of designing and recording an audio corpus, a time consuming and effort intensive task. Using publicly available audiobooks as the raw material of a spoken corpus for such systems creates new perspectives regarding the possibility of creating new synthetic voices quickly and with limited effort. This paper addresses the issu...
متن کاملAn RNN based speech recognition system with discriminative training
DISCRIMINATIVE TRAINING Tan Lee y, P.C. Chingy and L.W. Chanz y Department of Electronic Engineering z Department of Computer Science The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong. email : [email protected] Abstract In our previous work [1], a novel method of utilizing a set of fully connected recurrent neural networks (RNNs) for speech modeling has been proposed. Despi...
متن کاملTraining Set Issues in SRI's DECIPHER Speech Recognition System
SRI has developed the DECIPHER system, a hidden Markov model (HMM) based continuous speech recognition system typically used in a speaker-independent manner. Initially we review the DECIPHER system, then we show that DECIPHER's speakerindependent performance improved by 20% when the standard 3990-sentence speaker-independent test set was augmented with training data from the 7200-sentence resou...
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ژورنال
عنوان ژورنال: Journal of Life Support Technology
سال: 1989
ISSN: 0912-1595,1884-5819
DOI: 10.5136/lifesupport1986.2.210