This paper presents a system that makes use of machine listening techniques to analyse an incoming musical audio signal and determine various musical properties such as dynamics, tempo, and style. With this knowledge, the system generates an expressive drumbeat to accompany the input audio signal in real time. These drumbeats are created with a set of genetic algorithms which are designed to mo...

the aim of the current study was to examine the effect of metacognitive instruction on efl learners’ metacognitive awareness of listening strategies, listening comprehension, and oral language proficiency. fifty students of two upper-intermediate english courses participated in the study and were sampled as the experimental and control groups. for sixteen weeks the experimental group participat...

as the main part of a large-scale project, the present study investigated the relationship among reflective thinking, listening anxiety, and listening comprehension of iranian efl learners with regard to their proficiency level. to this end, 223 (106 intermediate and 117 advanced) adult male and female iranian efl learners from a private language institute took part in the study by completing t...

BACKGROUND AND AIMS Listening to music can have powerful physiological and therapeutic effects. Some essential features of the mental mechanism underlying beneficial effects of music are probably strong physiological and emotional associations with music created during the act of music making. Here we tested this hypothesis in a clinical population of polydrug abusers in rehabilitation listenin...

People increasingly live their lives in an online setting. This observation is fundamental to a growing body of work that aims at describing, understanding and exploiting the abundance of online personal information. The strong potential of social media platforms for understanding people’s behavior has already played an important role in scientific literature and as we increasingly integrate so...

The hypothesis of this interaction research project is that it can be stimulating for experimental musicians to confront a system which ‘opposes’ their musical style. The ‘contrary motion’ of the title is the name of a MIDI-based realtime musical software agent which uses machine listening to establish the musical context, and thereby chooses its own responses to differentiate its position from...

Listening texts can be classified according to the contents, complexity, authenticity, sphere, theme, quantity, etc. The linguistic and thematic level of listening input and its adequacy to general teaching purposes or concrete goals of each lesson are defined by a sort of criteria. The main language and content elements of the particular listening text mostly provide the style and type of work...

We present a system that automatically turns the pages of the music score for musicians during a performance. It is based on a new algorithm for following an incoming audio stream in real time and aligning it to a music score (in the form of a synthesized audio file). Precision and robustness of the algorithm are quantified in systematic experiments, and a demonstration using an actual page tur...

This paper analyzes the application of methods developed in automatic speech recognition (ASR) to better understand neural activity measured with electrocorticography (ECoG) during the presentation of speech. ECoG data is collected from temporal cortex in two subjects listening to a matrix sentence test. We investigate the relation of ECoG signals and acoustic speech that has been processed wit...