%Aigaion2 BibTeX export from Idiap Publications
%Sunday 22 December 2024 02:48:48 AM

@INPROCEEDINGS{BenZeghiba-icslp-04,
         author = {BenZeghiba, Mohamed Faouzi and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          title = {{P}osteriori {P}robabilities and {L}ikelihoods {C}ombination for {S}peech and {S}peaker {R}ecognition},
      booktitle = {International Conference on Spoken Language Processing (ICSLP~2004)},
           year = {2004},
        address = {Juju island, Korea},
           note = {IDIAP-RR 04-23},
       crossref = {benzeghiba-04-23},
       abstract = {This paper investigates a new approach to perform simultaneous speech and speaker recognition. The likelihood estimated by a speaker identification system is combined with the posterior probability estimated by the speech recognizer. So, the joint posterior probability of the pronounced word and the speaker identity is maximized. A comparison study with other standard techniques is carried out in three different applications, (1) closed set speech and speaker identification, (2) open set speech and speaker identification and (3) speaker quantization in speaker-independent speech recognition.},
            pdf = {https://publications.idiap.ch/attachments/reports/2004/rr-04-23.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr-04-23.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{BenZeghiba-04-23,
         author = {BenZeghiba, Mohamed Faouzi and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          title = {{P}osteriori {P}robabilities and {L}ikelihoods {C}ombination for {S}peech and {S}peaker {R}ecognition},
           type = {Idiap-RR},
         number = {Idiap-RR-23-2004},
           year = {2004},
    institution = {IDIAP},
       abstract = {This paper investigates a new approach to perform simultaneous speech and speaker recognition. The likelihood estimated by a speaker identification system is combined with the posterior probability estimated by the speech recognizer. So, the joint posterior probability of the pronounced word and the speaker identity is maximized. A comparison study with other standard techniques is carried out in three different applications, (1) closed set speech and speaker identification, (2) open set speech and speaker identification and (3) speaker quantization in speaker-independent speech recognition.},
            pdf = {https://publications.idiap.ch/attachments/reports/2004/rr-04-23.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr-04-23.ps.gz},
ipdmembership={speech},
}