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Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
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In: DTIC (2011)
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Phonologically-Based Biomarkers for Major Depressive Disorder
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In: DTIC (2011)
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Conversation thread extraction and topic detection in text-based chat
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Mobile Text Messaging and Connectedness within Close Interpersonal Relationships ...
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Mobile Text Messaging and Connectedness within Close Interpersonal Relationships
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Everyday Heroes: Summer Adventures ; Siempre Héroes: Aventuras del Verano
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Application of shifted delta cepstral features for GMM language identification
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Abstract:
Spoken language identifcation (LID) in telephone speech signals is an important and difficult classification task. Language identifcation modules can be used as front end signal routers for multilanguage speech recognition or transcription devices. Gaussian Mixture Models (GMM's) can be utilized to effectively model the distribution of feature vectors present in speech signals for classification. Common feature vectors used for speech processing include Linear Prediction (LP-CC), Mel-Frequency (MF-CC), and Perceptual Linear Prediction derived Cepstral coefficients (PLP-CC). This thesis compares and examines the recently proposed type of feature vector called the Shifted Delta Cepstral (SDC) coefficients. Utilization of the Shifted Delta Cepstral coefficients has been shown to improve language identification performance. This thesis explores the use of different types of shifted delta cepstral feature vectors for spoken language identification of telephone speech using a simple Gaussian Mixture Models based classifier for a 3-language task. The OGI Multi-language Telephone Speech Corpus is used to evaluate the system.
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Keyword:
Application; Automatic speech recognition; Computational linguistics; Gaussian processes; GMM; Identification; Language; Shifted delta cepstral; Sound--Classification; Speech processing systems; Speech--Data processing; Spoken; Telephone speech; TK7882.S65 L37 2006
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URL: http://hdl.handle.net/1850/2686
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Impact of Culture on Breast Cancer Screening in Chinese American Women
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In: DTIC (2005)
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Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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Dialogue Management for an Automated Multilingual Call Center
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In: DTIC (2003)
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Danish Gallup Omnibus Data 1986, Omnibus no. 16 ... : Danish Gallup Omnibus Data 1986, Omnibus no. 16 ...
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Integration of dialogue moves and speech recognition in a telephone scenario
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Jupiter: A Telephone-Based Conversational Interface for Weather Information
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In: http://www.sls.lcs.mit.edu/sls/publications/2000/IEEE-jupiter.ps.gz (2000)
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Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
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In: DTIC (2000)
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Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
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In: DTIC (2000)
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Language Identification Through Parallel Phone Recognition.
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In: DTIC AND NTIS (1995)
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Multimedia and Audience: Implications for Executive Summaries
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In: DTIC (1995)
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Multiple Approaches to Robust Speech Recognition
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In: DTIC (1992)
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A Performance Evaluation of Text Analysis Technologies
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In: http://ciir.cs.umass.edu/info/psfiles/tepubs/aimag.ps (1991)
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