Lecture16-speechreco

Lecture16-speechreco - This work is licensed under a...

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1 CS 479, section 1: Natural Language Processing Lecture #16: Speech Recognition Overview Thanks to Alex Acero (Microsoft Research), Mazin Rahim (AT&T Research), Dan Klein (UC Berkeley), Jeff Adams (Nuance), & Simon Arnfield (Sheffield) for many of the materials used in this lecture. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . Announcements Reading Report #6 on Word Sense Disambiguation M&S ch. 7 Due: today Project #1, Part 2 Early: Friday Due: Monday Questions? Objectives Introduce you to the speech recognition problem See an example of the source / channel (noisy channel) paradigm for modeling interesting processes Apply language models! Multimodal Systems DM SLU TTS Text-to-Speech Synthesis Automatic Speech Recognition Spoken Language Understanding Dialog Management ASR SLG Spoken Language Generation Data, Rules Meaning Speech Speech Action Visual Pen, Gesture Words Words Voice only Systems DM SLU TTS Text-to-Speech Synthesis Automatic Speech Recognition Spoken Language Understanding Dialog Management ASR SLG Spoken Language Generation Meaning Speech Speech Action Words Words Data, Rules Speech Acoustic pressure wave Modulated by the articulators in the human vocal tract. A/D codes the signal as electronic pulses (PCM) s p ee ch l a b “l” to “a” transition:
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2 Speech Articulation Automatic Speech Recognition Goals Convert a speech signal into text
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This note was uploaded on 10/18/2011 for the course CS 479 taught by Professor Ericringger during the Fall '11 term at BYU.

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