The exponential sinusoidal model (ESM) for parameterizing speech signals is proposed in this paper. The main feature of the ESM is that the amplitude of each sinusoidal component is allowed to vary exponentially with time. A novel variable segmentation strategy is applied first to separate individual transients of a voiced phoneme, which can then be fitted with the ESM. The epoch of a transient...

A sinusoidal grating can be viewed as a series of light and dark bars. Here we measure the contrast discrimination thresholds for light and dark bars individually, and find that the contrast discrimination thresholds for the whole sinusoid can be explained as ideal summation of the light and dark bar thresholds. We propose a model for light bar, dark bar, and sinusoidal contrast discrimination ...

This paper describes a method for automatic singer identification from polyphonic musical audio signals including sounds of various instruments. Because singing voices play an important role in musical pieces with a vocal part, the identification of singer names is useful for music information retrieval systems. The main problem in automatically identifying singers is the negative influences ca...

Sample and statistically based singing synthesizers typically require a large amount of data for automatically generating expressive synthetic performances. In this paper we present a singing synthesizer that using two rather small databases is able to generate expressive synthesis from an input consisting of notes and lyrics. The system is based on unit selection and uses the Wide-Band Harmoni...

In this section we expand on the sinusoidal model derived in the to allow for arbitrary periodic modulation functions for both the illumination and the camera reference signal. As before, we assume periodically modulated illumination with an angular frequency ω. In the general case, this illumination signal can be described as a superposition of all the harmonics of this frequency at different ...

Visual displays in passive sonar based on the Fourier spectrogram are underpinned by detection models that rely on signal and noise power statistics. Time-frequency representations specialised for sparse signals achieve a sharper signal representation, either by reassigning signal energy based on temporal structure or by conveying temporal structure directly. However, temporal representations i...

A new distance measure for all-pole modeling of voiced speech is introduced in this paper. It can easily be integrated within the concept of discrete Weighted Mean Square Error (WMSE) all-pole modeling, by a suitable choice of the modeling weights. The proposed weighting will address the problems such as: harmonic estimation reliability, perceptual significance of the harmonic and the model mis...