Yazar "Demir, Kadir Erdem" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Yayın
    Improved microphone array design with statistical speaker identification methods
    (Işık Üniversitesi, 2016-05-17) Demir, Kadir Erdem; Eskil, Mustafa Taner; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans Programı
    Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. This implementation is straightforward when the location or the path of the sourceand interference are provided. It becomes a challenge to detect the intended source when multiple unknown sources exist in the same environment. Performance of speaker identification degrades drastically when the speech signal is severely distorted by additive noise and reverberation. In such environments microphone arrays are often utilized as a means of improving the quality of capture speech signals. Both microphone array and speaker identification are mature fields. The advances of these two distinct fields can be combined into one system that maximizes gain on the intended speaker, which is the topic of this thesis. We utilize microphone array methods to improve the accuracy of speaker identification in a cocktail party environment. When the source and interferences are localized microphone array can be tuned to further reduce noise and increase the gain. In this thesis we developed a robust simulation environment to demonstrate to proposed improved microphone array design with statistical speaker identification. This is an open source implementation in which users can assign spakers anywhere in the room. We proposed two features; fusion based, and computationally efficient N-Gram for speaker identification. We demonstrated that the proposed features and the algorithm that leverages the synergy of microphone array processing and speaker identification methods outperforms conventional algorithms.
  • Küçük Resim
    Yayın
    Improved microphone array design with statistical speaker verification
    (Elsevier Ltd, 2021-04) Demir, Kadir Erdem; Eskil, Mustafa Taner
    Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and interference exists in the same environment. In this study we combine speaker verification and microphone array processing techniques to localize and maximize gain on the intended speaker under the assumption of open acoustic field. We exploit the steering capability of the microphone array for more accurate speaker verification. Our first contribution is a new N-Gram based and computationally efficient feature for detecting an intended speaker. When the source and interference are localized, microphone array can be tuned further to reduce noise and increase the gain. Our second contribution is this integrated algorithm for speaker verification and localization. In the context of this study we developed SharpEar, an open source environment that simulates propagation of sound emanating from multiple sources. Our third and last contribution is this simulation environment, which is open source and available to researchers of the field.