Speech enhancement by maintaining phase continuity

Speech enhancement by subspace methods. Sayar, Levend; Çiloğlu, Tolga; Department of Electrical and Electronics Engineering (2000)
Speech enhancement utilizing phase continuity between consecutive analysis windows Mehmetcik, Erdal; Çiloğlu, Tolga; Candan, Çağatay; Department of Electrical and Electronics Engineering (2011) It is commonly accepted that the induced noise on DFT phase spectrum has a negligible effect on speech intelligibility for short durations of analysis windows, as the early intelligibility studies pointed out. This fact is confirmed by recent intelligibility studies as well. Based on this phenomenon, classical speech enhancement algorithms do not modify DFT phase spectrum and only make changes in the DFT magnitude spectrum. However, in recent studies it is also indicated that these classical speech enhancem...
Speech conversion using MELP speech coding algorithm Salor, O; Demirekler, Mübeccel (2004-04-30) In this work, MELP (Mixed Excitation Linear Prediction) speech coding algorithm has been used for speech conversion. Speech conversion aims to modify the speech of one speaker such that the modified speech sounds as if spoken by another speaker. Speech modeling of MELP has been used to derive a mapping the between the speech models of the two speakers. We have obtained a mapping which provides a context-free speech conversion. We have mainly considered the spectral properties of the speakers. Using the 230 ...
Voice transformation and development of related speech analysis tools for Turkish Salor, Özgül; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2005) In this dissertation, new approaches in the design of a voice transformation (VT) system for Turkish are proposed. Objectives in this thesis are two-fold. The first objective is to develop standard speech corpora and segmentation tools for Turkish speech research. The second objective is to consider new approaches for VT. A triphone-balanced set of 2462 Turkish sentences is prepared for analysis. An audio corpus of 100 speakers, each uttering 40 sentences out of the 2462-sentence set, is used to train a spe...
Speaker identification through use of features selected using genetic algorithm Haydar, A; Demirekler, Mübeccel; Yurtseven, MK (Institution of Engineering and Technology (IET), 1998-01-08) The authors introduce the use of a genetic algorithm in the reduction of a 24 parameter (12 LPC derived cepstral coefficients +12 Delta-cepstral coefficients) set to a five, six, seven, eight or ten parameter set, for each speaker in text-independent speaker identification. The experimental results show that there is similar to 5% increase in the recognition rate when the reduced set of parameters is used.

Citation Formats

e. mehmetçik and T. Çiloğlu, “Speech enhancement by maintaining phase continuity,” 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69392.