Why Study Spoken Language Julia Hirschberg CS 4706 01 13 19 1 To find out why they speak the way they do When do people speak faster or slower speaking rate Why do people s voices have different qualities on different occasions voice quality When are people likely to be disfluent When do people speak up When do they emphasize certain words When do people speak louder or softer When do people take a break in their speech When do they use different intonational contours 01 13 19 2 Variation like this can signal Topic Structure Information Status what s shared knowledge What s important Speaker State Emotion Deception Speech Acts Syntactic Structure 01 13 19 3 Semantic meaning Speech planning 01 13 19 4 To build computational systems to perform useful tasks Speech recognition and synthesis TTS Spoken Dialogue systems Over the phone services Tutoring systems Speech to Speech Translation Speech Data Mining Homeland Security Deception and Speaker ID To build language systems 01 13 19 5 What will we study in this course Speech phenomena Acoustics intonation disfluencies laughter Tools for speech annotation and analysis Speech technologies Text to Speech Automatic Speech Recognition Speaker Identification Spoken Dialogue Systems 01 13 19 6 Challenges for speech technologies Pronunciation modeling Modeling accent phrasing and contour Spoken cues to Discourse segmentation Information status Topic detection Speech acts Turn taking Speaker State emotional speech charismatic speech deceptive speech 01 13 19 7 Course information Course syllabus and readings Jurafsky Martin second edition chapters available from the Village Copier 119th Amsterdam Speech tools and speech lab Courseworks discussion homework assignments course files TA Fadi Biadsy 01 13 19 8 Homework and Exams Lab homework exercises Learn how to do simple speech analysis with a standard software package Praat that you can download on your pc or mac Learn how to analyze intonational variation Build and evaluate a TTS system an ASR system Take home midterm and final 01 13 19 9 Honor policy on syllabus Late policy on syllabus 5 free late days for the semester 01 13 19 10
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