Browsing by Author "Arslan, Levent M."

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  • A unified approach to speech enhancement and voice activity detection 
    Kasap, Ceyhan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this work, a unified system for voice activity detection (VAD) and speech enhancement is proposed. In the proposed system, there is mutual exchange of information between VAD and speech enhancement blocks. A new, robust ...
  • Application of deep learning for array microphone processing 
    Akyürek, Muhammed Furkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Array microphone processing is a complex application with multiple interlinked components like direction of arrival for the audio sources, beamforming and postfiltering that are dependent on the array geometry. The array ...
  • Architectures and implementations for speech enhancement 
    Coşgül, Gökhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2000., 2000.)
    Complexity of a high performance speech enhancement algorithm has been reduced while retaining its quality. This modification leads to faster implementation as well as lower cost.The reduced complexity speech enhancement ...
  • Automated response generation for corporate chatbot systems 
    Güser, Abdullah Şamil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this work, we have studied the available intent classi cation and response selection methods for designing a customer service chatbot in Turkish language. We have compared the available chatbot types in the literature. ...
  • Cross-lingual voice conversion 
    Türk, Oytun. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Cross-lingual voice conversion refers to the automatic transformation of a source speaker’s voice to a target speaker’s voice in a language that the target speaker can not speak. It involves a set of statistical analysis, ...
  • Domain-specific keyword spotting 
    Haznedaroğlu, Ali. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    In large vocabulary continuous speech recognition based keyword spotting applications, language modeling directly affects the system performance. In this study, a keyword adapted language model is proposed and a Turkish ...
  • Duration analysis and modelling for Turkish text to speech synthesis 
    Şayli, Ömer. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2002., 2002.)
    Naturalness in TTS systems plays a big role in the acceptability of the TTS synthesis outputs. Rhythm, intonation, stress pattern, pitch and duration (timing) are the most important parameters which effect naturalness of ...
  • Fusing acoustic and linguistic parameters for multilingual emotion recognition 
    Erden, Mustafa. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Emotion recognition from speech can be used for detection of customer problems in call centers, agent performance monitoring, improving automatic speech recognition accuracies, enhancing human robot as well as human machine ...
  • Improved handling of SMS messages with statistical natural language processing techniques 
    Yıldırım, Ömer. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    The Short Messaging Service (SMS) is built on the ability of mobile telephones tosend and receive text messages. SMS based applications are increasing dramatically day byday in the telecommunications industry. The most ...
  • Statistical language models for large vocabulary Turkish speech recognition 
    Dutağacı, Helin. (Thesis (M.S.) - Bogazici University. Institue for Graduate Studies in Science and Engineering, 2002., 2002.)
    In this thesis we have compared four statistical language models for large vocabulary Turkish speech recognition. Turkish is an agglutinative language and has a productive morphotactics. This property of Turkish results ...
  • 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 ...
  • Text independent speaker verification using neural networks 
    Demirbağ, Sedat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Speaker verification is the process of proving one’s identity through voice. A speaker verification mechanism can be deployed in a banking system, a call center, a forensics software or a mobile application for accessing ...
  • Voice conversion for reconstruction of dysphonic speech 
    Tarakcıoğlu, Gönenç Seçil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    The medical term "dysphonia" is used for voice disorders caused by functional impairment of voice organs which results in inadequate oscillatory movement of the vocal folds. Dysphonic speech is typically hoarse, rough and ...
  • Voice driven keyword spotter 
    Çengelci, Onur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    We designed a voice driven keyword spotter. To improve the success of the system, we made use of synthetically generated voice inputs in addition to natural voice inputs and used approximate string matching instead of exact ...

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