'Spoken language processing prof' presentation slideshows

Acoustics of Speech

517 views • 34 slides

Lanugage Modeling

Lanugage Modeling. Lecture 12 Spoken Language Processing Prof. Andrew Rosenberg. Approaches to Language Modeling. Context Free Grammars Use in Sphinx N-gram models. Context-Free Grammars. Defined in formal language theory Terminals: e.g. cat Non-terminal symbols: e.g. NP, VP

401 views • 29 slides

Text Normalization

Text Normalization. Lecture 19 Spoken Language Processing Prof. Andrew Rosenberg. Text Normalization.

478 views • 27 slides

Sequential Modeling with the Hidden Markov Model

Sequential Modeling with the Hidden Markov Model. Lecture 9 Spoken Language Processing Prof. Andrew Rosenberg. Markov Assumption. If we can represent all of the information available in the present state, encoding the past is un-necessary.

360 views • 23 slides

Fast Fourier Transform

Fast Fourier Transform. Lecture 6 Spoken Language Processing Prof. Andrew Rosenberg. Overview. Fast Fourier Transform Multiplying Polynomials Relationship between polynomial multiplication and Fourier Analysis. Multiplying polynomials. Assume two polynomials of degree d .

440 views • 20 slides

Representing Acoustics with Mel Frequency Cepstral Coefficients

Representing Acoustics with Mel Frequency Cepstral Coefficients. Lecture 7 Spoken Language Processing Prof. Andrew Rosenberg. Representing Acoustic Information. 16-bit samples 44.1kHz sampling rate ~ 86kB/sec ~5MB/min Waves repeat -- Much of this data is redundant.

659 views • 18 slides

Midter m Review

Midter m Review. Spoken Language Processing Prof. Andrew Rosenberg. Lecture 1 - Overview. Applications speech recognition speech synthesis other applications: indexing, language id , etc. Information in speech words speaker identity speaker state discourse acts.

233 views • 14 slides

Course Overview

Course Overview. Lecture 1 Spoken Language Processing Prof. Andrew Rosenberg. Spoken Language Processing. How do computers interact with speech? C omputational approaches help us understand language and spoken communication. Speech Recognition. Voice Dialing Voice mail transcription

214 views • 12 slides