Prosody and Emotion 3
HomeFull List of Titles
1: ICSLP'98 Proceedings
Keynote SpeechesText-To-Speech Synthesis 1Spoken Language Models and Dialog 1Prosody and Emotion 1Hidden Markov Model Techniques 1Speaker and Language Recognition 1Multimodal Spoken Language Processing 1Isolated Word RecognitionRobust Speech Processing in Adverse Environments 1Spoken Language Models and Dialog 2Articulatory Modelling 1Talking to Infants, Pets and LoversRobust Speech Processing in Adverse Environments 2Spoken Language Models and Dialog 3Speech Coding 1Articulatory Modelling 2Prosody and Emotion 2Neural Networks, Fuzzy and Evolutionary Methods 1Utterance Verification and Word Spotting 1 / Speaker Adaptation 1Text-To-Speech Synthesis 2Spoken Language Models and Dialog 4Human Speech Perception 1Robust Speech Processing in Adverse Environments 3Speech and Hearing Disorders 1Prosody and Emotion 3Spoken Language Understanding Systems 1Signal Processing and Speech Analysis 1Spoken Language Generation and Translation 1Spoken Language Models and Dialog 5Segmentation, Labelling and Speech Corpora 1Multimodal Spoken Language Processing 2Prosody and Emotion 4Neural Networks, Fuzzy and Evolutionary Methods 2Large Vocabulary Continuous Speech Recognition 1Speaker and Language Recognition 2Signal Processing and Speech Analysis 2Prosody and Emotion 5Robust Speech Processing in Adverse Environments 4Segmentation, Labelling and Speech Corpora 2Speech Technology Applications and Human-Machine Interface 1Large Vocabulary Continuous Speech Recognition 2Text-To-Speech Synthesis 3Language Acquisition 1Acoustic Phonetics 1Speaker Adaptation 2Speech Coding 2Hidden Markov Model Techniques 2Multilingual Perception and Recognition 1Large Vocabulary Continuous Speech Recognition 3Articulatory Modelling 3Language Acquisition 2Speaker and Language Recognition 3Text-To-Speech Synthesis 4Spoken Language Understanding Systems 4Human Speech Perception 2Large Vocabulary Continuous Speech Recognition 4Spoken Language Understanding Systems 2Signal Processing and Speech Analysis 3Human Speech Perception 3Speaker Adaptation 3Spoken Language Understanding Systems 3Multimodal Spoken Language Processing 3Acoustic Phonetics 2Large Vocabulary Continuous Speech Recognition 5Speech Coding 3Language Acquisition 3 / Multilingual Perception and Recognition 2Segmentation, Labelling and Speech Corpora 3Text-To-Speech Synthesis 5Spoken Language Generation and Translation 2Human Speech Perception 4Robust Speech Processing in Adverse Environments 5Text-To-Speech Synthesis 6Speech Technology Applications and Human-Machine Interface 2Prosody and Emotion 6Hidden Markov Model Techniques 3Speech and Hearing Disorders 2 / Speech Processing for the Speech and Hearing Impaired 1Human Speech ProductionSegmentation, Labelling and Speech Corpora 4Speaker and Language Recognition 4Speech Technology Applications and Human-Machine Interface 3Utterance Verification and Word Spotting 2Large Vocabulary Continuous Speech Recognition 6Neural Networks, Fuzzy and Evolutionary Methods 3Speech Processing for the Speech-Impaired and Hearing-Impaired 2Prosody and Emotion 72: SST Student Day
SST Student Day - Poster Session 1SST Student Day - Poster Session 2Author Index
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What Spreads, And How? Tonal Rightward Spreading on Shanghai Disyllabic Compounds
Authors:
Xiaonong Sean Zhu, ANU (Australia)
Page (NA) Paper number 422
Abstract:
The present paper examines what kinds of Shanghai disyllabic lexical tone sandhi undergoes, especially in what sense and to what extent a disyllabic tone can be claimed to result from rightward spreading of the corresponding citation tone. It will be shown that F0 spreading occurs in the Long tone domains while Contour element spreading mainly in the Short tone domains.
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Tonal Complexity as a Dialectal Feature: 25 Different Citation Tones from Four Zhejiang Wu Dialects
Authors:
Sean Zhu, Department of Linguistics (Arts), Australian National University (Australia)
Phil Rose, Department of Linguistics (Arts), Australian National University (Australia)
Page (NA) Paper number 299
Abstract:
The Wu dialects of East-Central China are notorious for their tone sandhi, which is said to be the most complex in the world. This paper demonstrates that tonological complexity in Wu is not confined to tone sandhi, but is manifested also in citation tones. These show a both a large (7 - 8) number of contrasts and a very high percentage of contour and complex tones. Acoustic and auditory data are presented from an ongoing large-scale investigation into the tones and tone sandhi of the Wu dialects of Zhejiang province in East Central China. The citation tones from 4 sites (3 hitherto undescribed) in the little known Central Zhejiang area are described: Pujiang, Tonglu, Shengxian and Tiantai. Mean F0 and duration data are presented for the tones of these dialects. The data demonstrate a high degree of complexity, having no less than 25 Linguistic-tonetically different tones, including 3 different falling tones, and 4 different falling-level tones. The nature of the complexity of these forms is analysed.
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Emotional Speech Synthesis: From Speech Database to TTS
Authors:
Juan Manuel Montero, Grupo de Tecnología del Habla-Departamento de Ingeniería Electrónica-E.T.S.I. Telecomunicación-Universidad Politécnica de Madrid (Spain)
Juana M. Gutiérrez-Arriola, Grupo de Tecnología del Habla-Departamento de Ingeniería Electrónica-E.T.S.I. Telecomunicación-Universidad Politécnica de Madrid (Spain)
Sira Palazuelos, Laboratorio de Tecnologías de Rehabilitación-Departamento de Ingeniería Electrónica-E.T.S.I. Telecomunicación-Universidad Politécnica de Madrid (Spain)
Emilia Enríquez, Grupo de Tecnología del Habla-Departamento de Lengua Española-Universidad Nacional de Educación a Distancia (Spain)
Santiago Aguilera, Laboratorio de Tecnologías de Rehabilitación-Departamento de Ingeniería Electrónica-E.T.S.I. Telecomunicación-Universidad Politécnica de Madrid (Spain)
José Manuel Pardo, Grupo de Tecnología del Habla-Departamento de Ingeniería Electrónica-E.T.S.I. Telecomunicación-Universidad Politécnica de Madrid (Spain)
Page (NA) Paper number 1037
Abstract:
Modern Speech synthesisers have achieved a high degree of intelligibility, but can not be regarded as natural-sounding devices. In order to decrease the monotony of synthetic speech, the implementation of emotional effects is now being progressively considered. This paper presents a through study of emotional speech in Spanish, and its application to TTS, presenting a prototype system that simulates emotional speech using a commercial synthesiser. The design and recording of a Spanish database will be described and also the analysis of the emotional prosody (by fitting the data to a formal model). Using this collected data, a rule-based simulation of three primary emotions was implemented in the Text-to-Speech system. Finally, the assessment of the synthetic voice through perception experiments will classify the system as capable of producing quality voice with recognisable emotional effects.
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Some Acoustic Characteristics Of Emotion
Authors:
Cécile Pereira, Speech, Hearing and Language Research Centre, Macquarie University (Australia)
Catherine Watson, Speech, Hearing and Language Research Centre, Macquarie University (Australia)
Page (NA) Paper number 684
Abstract:
This study presents an acoustic analysis of emotion. The material consisted of two semantically neutral utterances spoken by two actors, one male, one female, portraying three moods: anger, happiness and sadness; and a neutral tone. The duration, fundamental frequency (F0) and an estimate of the sound intensity (RMS) were analysed. The fundamental frequency parameter was the most revealing, showing differences between anger and happiness according to the shape of the contour, and between "cold" anger and "hot" anger on F0 mean. In addition, the study replicates previous findings showing hot anger and happiness having an F0 large range and high mean in contrast to the more subdued emotion of sadness, and the neutral voice.