Musical experience has been demonstrated to play a significant role in the perception of non-native speech contrasts. The present study examined whether or not musical experience facilitated the normalization of speaking rate in the perception of non-native vowel length contrasts. Musicians and non-musicians were first briefly familiarized with Thai vowel length distinctions before completing i...

We assume that there are various musical groupings of perceptions according to the degree of schemata and there are two dominant music grouping schemata; (a) accent-oriented grouping schema and (b) phrasing schema (musical expression referred to as the Rainbow type). In order to verify these hypotheses, we investigated how listeners’ groupings change when the inner voice of Beethoven’s Piano So...

Identifying chords and related musical attributes from digital audio has proven a long-standing problem spanning many decades of research. A robust identification may facilitate automatic transcription, semantic indexing, polyphonic source separation and other emerging applications. To this end, we develop a Bayesian inference engine operating on single-frame STFT peaks. Peak likelihoods condit...

Many approaches to Music Information Retrieval tasks rely on correctly determining if two segments of a given musical recording are repeats of each other. Repetitions in recordings are rarely exact, and identifying the appropriate threshold for these pairwise decisions is crucial for tuning MIR algorithms. However, current approaches for determining and reporting this threshold parameter are de...

Music consists of sounds organized in time. These sounds can be understood from a rhythmic, timbral, or harmonic point of view, and they can be understood on different time scales, going from the very short (note onsets) to the medium (grouping), to the large scale with musical form. Note onsets, grouping and form are common musical terms, which can be compared to different aspects of audition,...

This paper investigates the musical affordances of Continuous Time Recurrent Neural Networks (CTRNNs) as an evolvable low-level algorithm for the exploration of sound. Our research will be divided into two parts. Firstly, we will conduct various studies that provide insight into CTRNN behaviours, identifying aspects that could prove creatively valuable to musicians. We expect to find that this ...

Software changes are difficult since the impacts of the changes are not readily known in advance. For safety-critical system, the changes can even introduce hazards to bug down the system. Then impact analysis makes its way into the software process. It identifies the consequences or ripple-effects of proposed software changes. In impact analysis, identifying the change impacts is a central act...

most of the environmental threates and resources depletion are direct consequences of human behavior, so altering the behavior could decrease environmental problems. in this regard, identification of the effective factors on behavior would be the first step. lake urmia as a public good, needs public contribution to prevent its more deterioration that could have serious impacts on social welfare...

Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract: Atmospheric deposition of nitrogen has become a serious concern for 25 nature conservation managers and policy makers. It has the potential to re...