We address the task of separation of music and effects from dialogs in film or television soundtracks. This is of interest for film studios wanting to release films in new, pre...
In this contribution we present a feature extraction method that relies on the modulation-spectral analysis of amplitude fluctuations within sub-bands of the acoustic spectrum by ...
Abstract— This work addresses the problem of joint quantization and power allocation in wireless sensor networks where sensors observe a source, quantize their observations and t...
Abstract—Fast multiplication can be achieved by using canonical signed digit (CSD) to speed-up computations. Conversion to CSD is needed when the multiplier is not known a priori...
Human expressive interactions are characterized by an ongoing unfolding of verbal and nonverbal cues. Such cues convey the interlocutor’s emotional state which is continuous and...
This paper proposes a technique for constructing independent parameter tying structures of mean and variance in HMMbased speech synthesis. Conventionally, mean and variance parame...
Most HMM-based TTS systems use a hard voiced/unvoiced classification to produce a discontinuous F0 signal which is used for the generation of the source-excitation. When a mixed ...
Javier Latorre, Mark J. F. Gales, Sabine Buchholz,...
This paper presents a dereverberation method based on I-divergence minimization, which is particularly suitable for music signals. Existing dereverberation methods, including one ...
This paper proposes a feature extraction for speaker characterization by exploring the relationship between the two distinct components of the speech signal, one is harmonics acco...
Yanhua Long, Zhi-Jie Yan, Frank K. Soong, Li-Rong ...
Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar (SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is based...