Hüseyin Çakmak

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In this paper we present a complete interactive system enabled to detect human laughs and respond appropriately, by integrating the information of the human behavior and the context. Furthermore, the impact of our autonomous laughter-aware agent on the humor experience of the user and interaction between user and agent is evaluated by subjective and(More)
—In this paper, automatic phonetic transcription of laughter is achieved with the help of Hidden Markov Models (HMMs). The models are evaluated in a speaker-independent way. Several measures to evaluate the quality of the transcriptions are discussed, some focusing on the recognized sequences (without paying attention to the segmentation of the phones),(More)
A synchronous database of acoustic and 3D facial marker data was built for audiovisual laughter synthesis. Since the aim is to use this database for HMM-based modeling and synthesis, the amount of collected data from one given subject had to be maximized. The corpus contains 251 utterances of laughter from one male participant. Laughter was elicited with(More)
In this paper we apply speaker-dependent training of Hidden Markov Models (HMMs) to audio and visual laughter synthesis separately. The two modalities are synthesized with a forced durations approach and are then combined together to render audiovisual laughter on a 3D avatar. This paper fo-cuses on visual synthesis of laughter and its perceptive evaluation(More)
In this paper, we present our work on speech-smile/shaking vowels classification. An efficient classification system would be a first step towards the estimation (from speech signals only) of amusement levels beyond smile, as indeed shaking vowels represent a transition from smile to laughter superimposed to speech. A database containing examples of both(More)
In this work, we present a study dedicated to improve the speech-laugh synthesis quality. The impact of two factors is evaluated. The first factor is the addition of breath intake sounds after laughter bursts in speech. The second is the repetition of the word interrupted by laughs in the speech-laugh sentences. Several configurations are evaluated through(More)
In this paper, we focus on the development of new methods to detect and analyze laughter, in order to enhance human-computer interactions. First, the general architecture of such a laughter-enabled application is presented. Then, we propose the use of two new modalities , namely body movements and respiration, to enrich the audiovisual laughter detection(More)
This paper presents the results of our participation to the ninth eNTERFACE workshop on multimodal user interfaces. Our target for this workshop was to bring some technologies currently used in speech recognition and synthesis to a new level, i.e. being the core of a new HMM-based mapping system. The idea of statistical mapping has been investigated, more(More)