This paper presents an original cloud computing architecture for music composition. In this model, music applications are built by making several computer music services work together. Component services are provided by a dedicated layer in the cloud architecture called computer music as a Service (CMaaS). The specialized music services can be integrated into different applications at the same ...

Empathy measures the capacity of the therapist to experience the same cognitive and emotional dispositions as the patient, and is a key quality factor in counseling. In this work we build computational models to infer the empathy of therapist using prosodic cues. We extract pitch, energy, jitter, shimmer and utterance duration from the speech signal, and normalize and quantize these features in...

This paper focuses on whether learners of basic music theory may find a multiple-media independent open learner model useful to explore their knowledge of harmony concepts. Learners were given the option to explore example beliefs held in their learner model as music notation, audio or text, and shown how their beliefs compared to those of an expert. Results suggest users are both willing and m...

This paper describes a speech recognition method for mixed sound, consisting of speech and music, that removes the music only based on vector quantization (VQ) and non-negative matrix factorization (NMF). For isolated word recognition using the clean speech model, an improvement of about 15% was obtained compared with the case of not removing music. Furthermore, a high recognition rate of about...

In this paper, we will study the simplest kind of beauty that can be found in a simple piece of music and can be appreciated universally. The proposed model suggest that there is a link between beautiful music and the Dyson distribution which seems to be the result of a deeper optimisation process between randomness and regularity. Then we show that beautiful music need to satisfy a more fundam...

This paper constructs a model of the recorded music market to investigate the consequences of local content requirements in broadcasting for the ‘internationalization’ of domestic music. We model the entry decisions of bands, the contracting decisions of record companies, the airplay decisions of radio stations and the radio listening and recording purchasing decisions of consumers. We show tha...

The understanding of music's role and function in therapy and medicine is undergoing a rapid transformation, based on neuroscientific research showing the reciprocal relationship between studying the neurobiological foundations of music in the brain and how musical behavior through learning and experience changes brain and behavior function. Through this research the theory and clinical practic...

Introduction: This study aimed to investigate the effect of music on pain, anxiety and vital signs in children undergoing colonoscopy.   Method and Materials: This randomized study was carried out on 101 children (7 to 14 years old) requiring colonoscopy. Children were randomly allocated to a control or case group. The case group was played relaxing music (by Clayderman) during the procedure. S...

Interactive Music Systems (IMS) have introduced a new world of music-making modalities. But can we really say that they create music, as in true autonomous creation? Here we discuss Video Interactive VST Orchestra (VIVO) — an IMS that considers extra-musical information by adopting a simple salience-based model of user-system interaction when simulating intentionality in automatic music generat...

In this paper, we propose a novel method for generating a melody from a generative probabilistic model by using Gibbs sampler. Furthermore, users can modify the composed music by interacting with the generation process. This method enables users to create their favorable melodies. Recently, music composition using computer software is gathering attentions. Many people want to compose their orig...