MISSING FEATURE RECONSTRUCTION OF SPEECH USING NONPARAMETRIC MIXTURE OF FACTOR ANALYZERS

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Goodarzi Mohamad Mohsen; Almasganj farshad; SHEKOFTEH YASSER

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2012 | Issue:19

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Title

MISSING FEATURE RECONSTRUCTION OF SPEECH USING NONPARAMETRIC MIXTURE OF FACTOR ANALYZERS

Author(s)

Goodarzi Mohamad Mohsen | Almasganj farshad | SHEKOFTEH YASSER

Keywords

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Abstract

THE PERFORMANCE OF AUTOMATIC SPEECH RECOGNITION (ASR) SYSTEMS IS ADVERSELY AFFECTED BY NOISE AND A WIDE RANGE OF DIFFERENT ALGORITHMS HAS BEEN PROPOSED TO COPE WITH THE EFFECTS OF ADDITIVE NOISE. MISSING FEATURE IS ONE OF RECENT APPROACHES WHICH UTILIZE INFORMATION REDUNDANCY IN SPEECH SIGNAL TO ESTIMATE MISSING COMPONENTS. ACCORDING TO CONNECTION BETWEEN MISSING FEATURE APPROACHES AND NEW EMERGING COMPRESSIVE SENSING THEORY, IN THIS PAPER WE TRY TO ADAPT THESE TWO CONCEPTS AND PRESENT A NOVEL SOLUTION TO MISSING FEATURE PROBLEM. TO DO THAT, WE USE NONPARAMETRIC MIXTURE OF FACTOR ANALYZERS (NMFA) TO MODEL CLEAN SPECTROGRAPHIC FEATURES. THEN ARRANGE THE ELEMENT OF SENSING MATRIX ACCORDING TO MISSING COMPONENTS AND FINALLY ESTIMATE THEM USING NMFA MODEL

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APA: Copy

Goodarzi, Mohamad Mohsen, Almasganj, farshad, & SHEKOFTEH, YASSER. (2012). MISSING FEATURE RECONSTRUCTION OF SPEECH USING NONPARAMETRIC MIXTURE OF FACTOR ANALYZERS. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/926409/en

Vancouver: Copy

Goodarzi Mohamad Mohsen, Almasganj farshad, SHEKOFTEH YASSER. MISSING FEATURE RECONSTRUCTION OF SPEECH USING NONPARAMETRIC MIXTURE OF FACTOR ANALYZERS. 2012. Available from: https://sid.ir/paper/926409/en

IEEE: Copy

Mohamad Mohsen Goodarzi, farshad Almasganj, and YASSER SHEKOFTEH, “MISSING FEATURE RECONSTRUCTION OF SPEECH USING NONPARAMETRIC MIXTURE OF FACTOR ANALYZERS,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2012, [Online]. Available: https://sid.ir/paper/926409/en

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