'Frequency cepstral coefficients' presentation slideshows

LSA 352 Speech Recognition and Synthesis

LSA 352 Speech Recognition and Synthesis. Dan Jurafsky. Lecture 6: Feature Extraction and Acoustic Modeling.

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Speech Recognition

Speech Recognition. Components of a Recognition System. Frontend. Feature extractor. Frontend. Feature extractor Mel-Frequency Cepstral Coefficients (MFCCs). Feature vectors. Hidden Markov Models ( HMMs ). Acoustic Observations. Hidden Markov Models ( HMMs ). Acoustic Observations

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Xuan Bao Romit Roy Choudhury

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373 views • 27 slides

Detection and Discrimination of Sniffing and Panting Sounds of Dogs

Detection and Discrimination of Sniffing and Panting Sounds of Dogs. Ophir Azulai(1), Gil Bloch(1), Yizhar Lavner (1,2), Irit Gazit (3) and Joseph Terkel (3).

347 views • 15 slides

Objectives:

LECTURE 42: SELECTED APPLICATIONS. Objectives: P attern Recognition Feature Generation Linear Prediction Gaussian Mixture Models Emerging Applications Resources: Introduction to DSP Fundamentals of ASR Pattern Recognition Information Theory. Audio:. URL:. Pattern Recognition.

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Introduction

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