الصفحة 1
الصفحة 1
Speaker Classification II : Selected Papers
Constitutes a state-of-the-art survey for the field of speaker classification. It approaches the following questions: What characteristics of the speaker become manifest in his or her voice and speaking behavior? Which of them can be inferred from analyzing the acoustic realizations? What can this information be used for? Which methods are the most suitable for diversified problems in this area of research? How should the quality of the results be evaluated?
Progress in Nonlinear Speech Processing
Coverage includes such areas as speech analysis for speech synthesis, speech recognition, speech-non speech discrimination and voice quality assessment, speech enhancement, and emotional state detection.
Personalized mood-enhancing music player
Our proposed application, the "MELAI Music Player," utilizes advanced AI techniques for accurate emotion detection. The MELAI Music Player employs facial recognition technology with an impressive face emotion recognition accuracy of 82.56%. This enables the application to analyze the emotions displayed by a person's facial expressions, providing a more comprehensive understanding of the user's current mood. Furthermore, the application utilizes sophisticated music emotion recognition techniques, including melody detection with an accuracy of 79.12%. This helps to identify the emotions conveyed by the song's rhythm, tempo, and melody, and analyze how they impact the user's mood.
Advances in multimedia modeling ; 14th International multimedia modeling conference, MMM 2008, Kyoto, Japan, January 9-11, 2008. Proceedings
The papers are organized in topical sections that include material on media understanding, creative media, visual content representation, and video codecs, as well as media retrieval, audio and music.
