A computer-based tutorial on Models of Speech Perception

نویسندگان

  • Francesco Cutugno
  • Cécile Fougeron
چکیده

Learning material on speech perception has appeared in a recent survey to be less documented than other topic in phonetics. This tutorial was built in order to fill, at least in part, this lack. We aim to provide a comprehensive overview of some models of speech perception process to both basic and advanced students. The topics covered in the tutorial include a broad description of the mechanisms involved in the speech perception process; difficulties that listeners have to overcome and that models have to account for; a comparative description of five of the most famous models: Fant's auditory model, Motor Theory, Analysis by Synthesis, Quantal Nature of Speech, Hyperand hypo-speech models. The description and comparison of the models are based on their main assumptions, historical background, and supporting experiments and results. This computer based tutorial rely on an interactive learning strategy based on multimedia presentations, hypertext, pop-ups, and animated diagrams. This work is freely available on World Wide Web, at the Elsnet site (www.elsnet.org).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Speech enhancement based on hidden Markov model using sparse code shrinkage

This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...

متن کامل

Recognizing the Emotional State Changes in Human Utterance by a Learning Statistical Method based on Gaussian Mixture Model

Speech is one of the most opulent and instant methods to express emotional characteristics of human beings, which conveys the cognitive and semantic concepts among humans. In this study, a statistical-based method for emotional recognition of speech signals is proposed, and a learning approach is introduced, which is based on the statistical model to classify internal feelings of the utterance....

متن کامل

Reliability of Interaural Time Difference-Based Localization Training in Elderly Individuals with Speech-in-Noise Perception Disorder

Background: Previous studies have shown that interaural-time-difference (ITD) training can improve localization ability. Surprisingly little is, however, known about localization training vis-à-vis speech perception in noise based on interaural time difference in the envelope (ITD ENV). We sought to investigate the reliability of an ITD ENV-based training program in speech-in-noise perception a...

متن کامل

Classification of Speech Acts in Tutorial Dialog

Computer models of tutorial dialog need to segment and classify the learner’s contributions into sequences of speech acts. The responses of the computer tutor we have developed (called AutoTutor) need to be sensitive to the speech acts of the learner’s contribution during the previous turn. We developed and tested some models that classified the speech acts in naturalistic tutorial dialog into ...

متن کامل

Speech Production and Perception Models and Their Applications to Synthesis, Recognition, and Coding

The last few decades have witnessed tremendous progress in the performance, reliability, and wide-spread use of speech-processing devices. Using mathematical models of human speech production and perception has been an important factor in the improved performance of these devices. In this tutorial paper, we review recent advances in speech production and perception modeling and summarize the ch...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000