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DC Field | Value | Language |
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dc.contributor.author | DeMarco, Andrea | - |
dc.contributor.author | Cox, Stephen J. | - |
dc.date.accessioned | 2022-03-28T15:35:04Z | - |
dc.date.available | 2022-03-28T15:35:04Z | - |
dc.date.issued | 2011-08 | - |
dc.identifier.citation | DeMarco, A., & Cox, S. J. (2011). An accurate and robust gender identification algorithm. In Twelfth Annual Conference of the International Speech Communication Association. | en_GB |
dc.identifier.isbn | 9781618392701 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/92556 | - |
dc.description.abstract | We describe a robust, unsupervised method of automatic gender identification from speech. We first design a baseline gender classifier based on MFCC features, and add a second classifier that uses context-dependent but text-independent pitch features. The results of these classifiers are then examined for disagree- ments in gender classification. Any disagreements are resolved by the use of a novel pitch-shifting mechanism applied to the ut- terances. We show how the acoustic context classifier provides very good gender identification results, and how these are fur- ther enhanced by the pitch-shifting process. Furthermore this enhancement is preserved across a set of different corpora. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Natural language processing (Computer science) | en_GB |
dc.subject | Automatic speech recognition | en_GB |
dc.subject | Language and languages | en_GB |
dc.subject | Speech perception | en_GB |
dc.subject | Speech processing systems | en_GB |
dc.title | An accurate and robust gender identification algorithm | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | Conference of the International Speech Communication Association | en_GB |
dc.bibliographicCitation.conferenceplace | Florence, Italy, 27-31/08/2011 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - InsSSA |
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An_Accurate_and_Robust_Gender_Identification_Algorithm(2011).pdf Restricted Access | 210.15 kB | Adobe PDF | View/Open Request a copy |
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