In this paper we present an innovative tempo estimation system that processes acoustic audio signals and does not use any high level musical knowledge. Our proposal relies on a harmonic plus noise decomposition of the audio signal by means of a subspace analysis method. Then, a technique to measure the degree of musical accentuation as a function of time is developed and separately applied to t...

Sinusoids are widely used to represent the oscillatory modes of musical instrument sounds in both analysis and synthesis. However, musical instrument sounds feature transients and instrumental noise that are poorly modeled with quasi-stationary sinusoids, requiring spectral decomposition and further dedicated modeling. In this work, we propose a full-band representation that fits sinusoids acro...

The proposed paper deals with the estimation of the power spectral density (PSD) of noise for mixtures of non-stationary wideband signals exploiting sparseness in the time-frequency domain. The proposed method is applied to realize a beamformer-plus-postfilter structure for noise-robust speech recognition. Experiments with a small-scale 4-sensor microphones array show that interfering speech an...

Although the electrolarynx (EL) provides an important means of voice reconstruction for patients who lose their vocal cords by laryngectomies, the radiated noise and additive environment noise reduce the intelligibility of the resulting EL speech. This paper proposes an improved spectrum subtract algorithm by taking into account the nonuniform effect of colored noise on the spectrum of EL speec...

Most speech enhancement techniques do not perform very well in correlated or colored noise, as they assume that noise and speech are not correlated. In this paper, we propose a method, based on spectral subtraction, which takes into account possible correlation between noise and speech. Objective measures showed that the proposed method outperformed the power spectral subtraction method resulti...

This paper describes the Musical Poi (mPoi), a unique sensorbased musical instrument inspired by the ancient art of Jwibulnori and Poi spinning. The trajectory of circular motion drawn by the performance and the momentum of the mPoi instrument is converted to the energetic and vibrant sound, which creates a spiritual and meditative soundscape that opens everyone up the aura and clears the mind....

This study tested the hypothesis that the previously reported advantage of musicians over non-musicians in understanding speech in noise arises from more efficient or robust coding of periodic voiced speech, particularly in fluctuating backgrounds. Speech intelligibility was measured in listeners with extensive musical training, and in those with very little musical training or experience, usin...

In this paper, we propose a musical-noise-free blind speech extraction method using a microphone array for application to nonstationary noise. In our previous study, it was found that optimized iterative spectral subtraction (SS) results in speech enhancement with almost no musical noise generation, but this method is valid only for stationary noise. The proposed method consists of iterative bl...

After a survey of inverse transform methods for the efficient synthesis of narrow-band and broad-band signals, a novel spectral line broadening technique is introduced for synthesis of pitch modulated noise signals. This new transform-domain approach is compared to the time-domain oscillator method with respect to their relative efficiency on modern processors Introduction: Noise in Musical Ins...

Introduction: Children with cochlear implants (CIs) may experience few opportunities for positive musical experiences, and musical perception is therefore often not sufficiently developed. This paper investigates and discusses the relationship between intelligence quotient (IQ) and musical ability in children with CIs compared with children with normal hearing.                                  ...