An audio signal is a representation of sound. Audio signals have frequency range 20 to 20 kHz. Audio signals may be synthesized directly. A mixture refers to the physical combination of two or more substances on which the identities and are mixed in the form to separate out. An audio signal classification system should be able to categorize different audio input formats (speech, background nois...

The voice modification system studied in this paper allows to ’transplant’ selected voice characteristics (pitch, loudness, timing, and/or timbre) from a given ’donor’ utterance onto another (’patient’) utterance. Several potential applications exist for such a system, depending on the voice characteristics that are transplanted. The examples studied here are lip synchronization, voice dubbing ...

Obtaining accurate melodic contours from polyphonic music is essential to several music-informationretrieval (MIR) applications and is also useful from a musicological perspective. The presence of tabla and tanpura accompaniment in north Indian classical vocal performances, however, degrades the performance of common pitch detection algorithms (PDAs) that are known to provide accurate results w...

The automated discovery of recurrent patterns in music is a fundamental task in computational music analysis. This paper describes a new method for discovering patterns in the vertical and horizontal dimensions of polyphonic music. A formal representation of music objects is used to structure the musical surface, and several ideas for viewing pieces as successions of vertical structures are exa...

We present a method for understanding the rhythmic content of a collection of identified symbols in optical music recognition, designed for polyphonic music. Our object of study is a measure of music symbols. Our model explains the symbols as a collection of voices, while the number of voices is variable throughout a measure. We introduce a dynamic programming framework that identifies the best...

Although using the singer's name to search for songs is the common function of music retrieval systems, people often only remember famous singers. For new singers, people often only remember that the singer’s voice is similar to a famous singer, but cannot recall his/her name. Among current studies, there is little discussion on the music search method by voice. Therefore, this study proposed a...

Background in musicology. Although musical “mode” may be used to refer to a variety of different concepts, a simple definition is: a collection of tones and tone-relationships used to construct a melody. Using this definition, it is clear that associations between specific modes and emotions are formally documented and widely disseminated in a variety of musical traditions. Despite this rich cr...

Music and voice bear many similarities and share neural resources to some extent. Experience dependent plasticity provides a window into the neural overlap between these two domains. Here, we suggest that research on auditory deprived individuals whose hearing has been bionically restored offers a unique insight into the functional and structural overlap between music and voice. Studying how ba...

In this work, we have presented a hierarchical scheme for classifying music data. Instead of dealing with large variety of features, proposed scheme relies on MFCC and its variants which are introduced at the different stages to satisfy the need. At the top level music is classified as song (music with voice) and instrumental (music without voice) based on MFCC. Subsequently, instrumental signa...

Singing voice is specific in music: a vocal performance conveys both music (melody/pitch) and lyrics (text/phoneme) content. This paper aims at exploiting the advantages of melody and lyric information for real-time audio-to-score alignment of singing voice. First, lyrics are added as a separate observation stream into a template-based hidden semi-Markov model (HSMM), whose observation model is...