Articulated noise is a computer-assisted strategy for applying various flavors of noise to the structuring of musical compositions. The approach applies equally well to creating electroacoustic music and instrumental scores, and makes no assumptions about musical style. Articulated noise is discussed here in terms of its precedents, philosophical and aesthetic basis, methods adopted by the auth...

This article presents a reflection on some ideological problems that surround the creation of a history of electroacoustic music. The analysis of the role and evolution of a musical concept through the history of a musical tradition can show the strategies used in the creation of a historical narration. As an example of these rhetoric devices, the article briefly tracks the presence of dissonan...

PURPOSE To determine why, in a pilot study, only 1 of 11 cochlear implant listeners was able to reliably identify a frequency-to-electrode map where the intervals of a familiar melody were played on the correct musical scale. The authors sought to validate their method and to assess the effect of pitch strength on musical scale recognition in normal-hearing listeners. METHOD Musical notes wer...

The effects of musical interference and noise on pitch-matching accuracy were examined. Vocal training was explored as a factor influencing pitch-matching accuracy, and the relationship between pitch matching and pitch discrimination was examined. Twenty trained singers (TS) and 20 untrained individuals (UT) vocally matched tones in six conditions (immediate, four types of chords, noise). Funda...

This paper presents speech enhancement technique based on Spectral Subtraction (SS) method. SS is a renowned noise reduction technique that works on the principle that noise spectrum estimate over the entire speech spectrum can be subtracted from the noisy signal. On the contrary, most of the noise encountered in the real-world conditions is majorly colored. Unlike Additive White Gaussian Noise...

PURPOSE To evaluate the temporal processing of popular singers who do or do not play a musical instrument. METHODS The study population comprised 30 popular band singers. Of them, 15 play a musical instrument (G1) and 15 do them do not play a musical instrument (G2). All of them were submitted to basic audiological evaluation and temporal processing tests: test of frequency standard (TFS) and...

This paper proposes a representation for univoiced musical sequences, and tests experimentally our hierarchical artiicial neural model on a musical time series | the third voice of the sixteenth four-part fugue in G minor of the Well-Tempered Clavier (vol. I) of J. S. Bach. The results obtained suggest that the model can perform eeciently on both recognition and discrimination of real musical s...

In this paper, we propose a structure-g巴neralized pararnetric blind spatial subtraction array (BSSA),加d the theoretical anal­ ysis of the arnounts of musical noise and speech disto出on IS conducted via higher-order statistics. We th印刷cally prove a tradeo仔berween the arnounts of mus】cal noise and speech dis­ tortion in vanous BSSA structures. From the analysis and ex­ perimental evaluations, we r...

The inaccuracy of estimating the noise reference, to improve the quality of speech corrupted by additive noise, could cause additional musical artifacts to be introduced at the output of the processed speech. These musical artifacts could be so unbearable that the processed speech could be unrecognizable at the receiver end. In this paper, we introduce the use of a novel fuzzy neural network (F...

The traditional power spectral subtraction algorithm is computationally simple to implement but suffers from musical noise distortion. In addition, the subtractive rules are based on incorrect assumptions about the cross terms being zero. A new geometric approach to spectral subtraction is proposed in the present paper that addresses these shortcomings of the spectral subtraction algorithm. A m...