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Nonnegative matrix factorization (NMF) is a popular method for source separation. In this paper, an alternating direction method of multipliers (ADMM) for NMF is studied, which deals with the NMF problem using the cost function of beta-divergence. Our study shows that this algorithm outperforms state-of-the-art algorithms on synthetic data sets, but it presents unstable behavior and low accuracy on...
This paper presents a sparse representation framework for weighted frequency warping based voice conversion. In this method, a frame-dependent warping function and the corresponding spectral residual vector are first calculated for each source-target spectrum pair. At runtime conversion, a source spectrum is factorised as a linear combination of a set of source spectra in the training data. The linear...
Language diarization is the task to perform automatic language segmentation and recognition in a code-switch speech. Towards this task, we developed a conversational Mandarin-English code-switch corpus spoken by Singaporean/Malaysian speakers. We also developed a Singapore accent specific pronunciation dictionary, with which we built a Singapore accent phone recognizer to extract long term context...
This paper presents the development of the speech, text and pronunciation dictionary resources required to build a large vocabulary speech recognizer for the Malay language. This project is a collaboration project among three universities: USM, MMU from Malaysia and NTU from Singapore. The Malay speech corpus consists of read speech (speaker independent/ dependent and accent independent/ dependent)...
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