the factor structure of the listening section of a persian language proficiency test (plpt), developed and used for academic purposes, was examined in this study. a structural equation modeling (sem) was employed using amos (v. 18) to analyze the responses of a number of persian language learners (n=120) who participated in the first piloting phase of the test in 2014. to examine whether the li...

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...

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...

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...

Abstract Listening plays a significant role in daily communication and educational processes. In spite of its importance, listening has long been the neglected skill in second and foreign language acquisition, research, teaching, and assessment. However, on account of the entire challenges EFL learners encounter in classrooms due to the listening complexity, some pre-listening activities as sup...

Abstract Listening plays a significant role in daily communication and educational processes. In spite of its importance, listening has long been the neglected skill in second and foreign language acquisition, research, teaching, and assessment. However, on account of the entire challenges EFL learners encounter in classrooms due to the listening complexity, some pre-listening activities as sup...