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Browsing Elektrik- Elektronik Mühendisliği by Subject "Automatic speech recognition."

Browsing Elektrik- Elektronik Mühendisliği by Subject "Automatic speech recognition."

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  • Automatic speech recognition system adaptation for spoken lecture processing 
    Fakhan, Enver. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The recent developments in artificial neural networks has brought significant improvement in Automatic Speech Recognition (ASR). However the performance of the neural network based models mostly depends on the availability ...
  • Bootstrapping a speech recognition system by using video text recognition 
    Som, Temuçin. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In the broadcast news for the hearing impaired, the information is conveyed by three modalities: speech, sign language and sliding video text. In this work, we propose an HMM-based sliding video text recognition (SVTR) ...
  • Effects of data duration, model size and session variability on speaker verification performance 
    Dikici, Erinç. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Speaker verification is one of the most challenging branches of biometric authentication. Covering a wide spectrum from security services to law enforcement, speaker veri cation systems are employed in phone banking, ...
  • Improving image captioning with language modeling regularizations 
    Ulusoy, Okan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Inspired by the recent work in language modeling, we investigate the effects of a set of regularization techniques on the performance of a recurrent neural network based image captioning model. Using these techniques, we ...
  • Indexation, retrieval and decision techniques for spoken term detection 
    Can, Doğan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Speech Retrieval (SR) systems aim to provide access to large multimedia archives that include a vast amount of spoken media like lecture videos, podcasts, news clips and audio books. To that end, SR integrates two well ...
  • Investigation of automatically derived subword units for Turkish LVCSR 
    Aksungurlu, Tuncay. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In this thesis, we performed large vocabulary continuous speech recognition (LVCSR) experiments using language models that are built upon different recognition units in order to create a suitable and successful language ...
  • Keyword search for low resource languages 
    Gündoğdu, M. Batuhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Retrieval of spoken content is one key endeavor, not only for finding the speech parts of interest, but also for an automated and facilitated speech mining towards better automatic speech recognition (ASR) systems. In ...
  • Prosodically guided syllable based speaker independent isolated Turkish word recognizer 
    Ersoy, Cem. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1986., 1986.)
  • Single-channel speech-music separation for robust ASR with mixture of NMF models 
    Demir, Cemil. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    In this dissertation, we analyze the single-channel speech-music separation problem for automatic speech recognition (ASR). The motivation of the study is to increase the performance of the ASR systems by decreasing the ...
  • Statistical and discriminative language modeling for Turkish large vocabulary continuous speech recognition 
    Arısoy, Ebru. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Turkish, being an agglutinative language with rich morphology, presents challenges for Large Vocabulary Continuous Speech Recognition (LVCSR) systems. First, the agglutinative nature of Turkish leads to a high number of ...
  • Supervised, semi-supervised and unsupervised methods in discriminative language modeling for automatic speech recognition 
    Dikici, Erinç. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Discriminative language modeling aims to reduce the error rates by rescoring the output of an automatic speech recognition (ASR) system. Discriminative language model (DLM) training conventionally follows a supervised ...
  • Telephone-based text-dependent speaker verification 
    Büyük, Osman. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    In this thesis, we investigate model selection and channel variability issues on telephone-based text-dependent speaker verification applications. Due to the lack of an appropriate database for the task, we collected two ...
  • Use of prosody in speech recognition 
    Akarun, Lale. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1986., 1986.)
    Automatic speech recognizers which were once considered as "a dream of mad scientists" have shown considerable success in the last decade. What has made this success possible has been the use of sophisticated mathematical ...

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