نتایج جستجو برای: speech recognition equipment

تعداد نتایج: 411456  

This study investigated the effects of English as foreign language (EFL) proficiency on what the authors of this study called pragmalinguistic and sociopragmatic recognition of EFL learners. To elicit the data, the study used two types of pragmatic measures: a pragmalinguistic recognition (PLR) test and a sociopragmatic recognition (SPR) test. Both tests were developed by the researchers of thi...

1998
Thomas Kemp Petra Geutner Michael Schmidt Borislav Tomaz Manfred Weber Martin Westphal Alexander H. Waibel

The recognition of broadcast news is a challenging problem in speech recognition. To achieve the long-term goal of robust, real-time news transcription, several problems have to be overcome, e.g. the variety of acoustic conditions and the unlimited vocabulary. Recently, a number of sites have been working on content-addressable multi-media information sources. In the presented paper, we focus o...

This paper reports on a behavioral study that explores the role of culture and gender in the recognition of emotional speech in an under investigated cultural context (a collectivist society: i.e., Iran). Participants were asked to recognize the emotional prosody of a set of validated emotional vocal portrayals (including the five basic emotions). Findings of the experiment were then comp...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی امیرکبیر(پلی تکنیک تهران) - دانشکده مهندسی برق 1386

در این پژوهش، وظیفه مشخص سازی گفتار مربوط به هر گوینده خاص در یک فضای متشکل از چندین گوینده بدون همپوشانی میان گویندگان با فرض مشخص بودن تعداد گویندگان می باشد. در اینجا هدف طراحی سیستمی است که بتواند تغییر در گوینده را مشخص نماید و تا حد امکان، گفتار هر گوینده را بدون دانستن اطلاعات قبلی از وی و هر گونه آموزش برای سیستم، برچسب گذاری نماید یعنی مشخص نماید که کدام گوینده و در چه زمانی صحبت کرده ...

Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...

Journal: :IEEE Signal Processing Magazine 2009

Journal: :International Journal of Computer Applications 2020

Journal: :Journal of the American Medical Informatics Association 1999

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