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Author = Gainza, Mikel;
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Displaying Results 1 - 25 of 41 on page 1 of 2
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A Brief Introduction to Speech Synthesis and Voice Modification
(2007)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel
A Brief Introduction to Speech Synthesis and Voice Modification
(2007)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel
Abstract:
For both engineers and linguists, the computer synthesis of natural speech is an objective that would provide many useful applications to human-computer interaction, including the realm of electro-acoustic music. The purpose of this paper is to introduce the area of speech synthesis by providing an overview of the three main methods of computer speech synthesis; namely concatenative, articulatory and formant syntheses. Some aspects of the current state of the technology are illuminated and the final section will explain the author’s motivation and current research approach to the field of voice modification.
https://arrow.dit.ie/argcon/56
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Audio Thumbnail Generation of Irish Traditional Music
(2010)
Kelly, Cillian; Gainza, Mikel; Dorran, David; Coyle, Eugene
Audio Thumbnail Generation of Irish Traditional Music
(2010)
Kelly, Cillian; Gainza, Mikel; Dorran, David; Coyle, Eugene
Abstract:
An approach is presented which generates an audio thumbnail of Irish traditional music. An audio thumbnail is consered to be the most representative segment of the music. For popular music, the chorus is considered to be an ideal audio thumbnail, however in Irish Traditional Music there is no chorus. An Irish Traditional tune consists of tow or mor short structural segments called parts. Parts are repeated to extend the tuen, and the tune itself is also repeated once or more in its entirety. To further extend a performance, tunes are concatenated to form a set of tuens. As a result, there is plenty of repetition within this music type. The presented approach utilises and existing approach which calculates the structure of Irish Traditional Music. The structural informatin is used to extract a single rendition of each distinctive part. The resulting parts are concatenated to form the audio thumbnail.
https://arrow.dit.ie/argcon/48
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Automatic Bar Line Segmentation
(2007)
Gainza, Mikel; Barry, Dan; Coyle, Eugene
Automatic Bar Line Segmentation
(2007)
Gainza, Mikel; Barry, Dan; Coyle, Eugene
Abstract:
A method that segments the audio according to the position of the bar lines is presented. The method detects musical bars that frequently repeat in different parts of a musical piece by using an audio similarity matrix. The position of each bar line is predicted by using prior information about the position of previous bar lines as well as the estimated bar length. The bar line segmentation method does not depend on the presence of percussive instruments to calculate the bar length. In addition, the alignment of the bars allows moderate tempo deviations.
https://arrow.dit.ie/argcon/55
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Automatic Musical Meter Detection
(2009)
Gainza, Mikel
Automatic Musical Meter Detection
(2009)
Gainza, Mikel
Abstract:
A method that automatically estimates the metrical structure of a piece of music is presented. The approach is based on the generation of a beat similarity matrix, which provided information about the similarity between any two beats of a piece of music. The repetitive structure of most music is exploited by processing the beat similarity matrix in order to identify similar patterns of beats in different parts of a piece. This principles proves to be equally effective for the detection of both duple and triple meters as awll as complex meters. The use of beat positions and dynamic programming techniques allows tracking similar musical patterns formed by beats with moderate tempo deviations. The robustness of the presented appraoch is reflected by the results presented, where 361 songs are used in order to compare the presented approach against the use of the autocorrelation function in existing state of the art meter detection methods.
https://arrow.dit.ie/argcon/52
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Automating Ornamentation Transcription
(2007)
Gainza, Mikel; Coyle, Eugene
Automating Ornamentation Transcription
(2007)
Gainza, Mikel; Coyle, Eugene
Abstract:
A novel technique for detecting single and multi-note ornaments is presented. The system detects audio segments by utilising and onset detector based on comb filters (ODCF), which is capable of detecting very close events. In addition, a novel method to remove spurious onsets due to offset events is introduced. The system utilises musical ornamentation theory to decide whether a sequence of audio segments correspond to an ornamentation musical structure. In order to evaluate the results, a database of signals produced by different players using the three different instruments has been utilised. The results represent a step forward towards fully automating ornamentation transcription
https://arrow.dit.ie/argcon/10
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Compensating for expressiveness in queries to a content based music information retrieval system
(2009)
Duggan, Bryan; O'Shea, Brendan; Gainza, Mikel; Cunningham, Padraig
Compensating for expressiveness in queries to a content based music information retrieval system
(2009)
Duggan, Bryan; O'Shea, Brendan; Gainza, Mikel; Cunningham, Padraig
Abstract:
MATT2 is a content based music information retrieval system adapted to the characteristics of traditional Irish dance music. MATT2 compensates for expressive artefacts commonly employed by traditional musicians. Specifically these are ornamentation, "the long note", reversing and phrasing. In this paper we describe the main components of MATT2 and present an experiment where we demonstrate that using this higher level knowledge of melodic similarity in traditional Irish dance music results in a significant improvement in annotation accuracy over standard approaches from the MIR literature.
https://arrow.dit.ie/scschcomcon/45
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Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification
(2009)
McKay, Joseph; Gainza, Mikel; Barry, Dan
Evaluating Ground Truth for ADRess as a Preprocess for Automatic Musical Instrument Identification
(2009)
McKay, Joseph; Gainza, Mikel; Barry, Dan
Abstract:
Most research in musical instrument identification has focused on labeling isolated samples or solo phrases. A robust instrument identification system capable of dealing with polytimbral recordings of instruments remains a necessity in music information retrieval. Experiments are described which evaluate the ground truth of ADRess as a sound source separation technique used as a preprocess to automatic musical instrument identification. The ground truth experiments are based on a number of basic acoustic features, while using a Gaussian Mixture Model as the classification algorithm. Using all 44 acoustic feature dimensions, successful identification rates are achieved.
https://arrow.dit.ie/argcon/41
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Exploiting Glottal Formant Parameters for Glottal Inverse Filtering and Parameterization
(2010)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel; Coyle, Eugene
Exploiting Glottal Formant Parameters for Glottal Inverse Filtering and Parameterization
(2010)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel; Coyle, Eugene
Abstract:
It is crucial for many methods of inverse filtering that the time domain information of the glottal source waveform is known, e.g. the location of the instant of glottal closure. It is often the case that this information is unknown and/or cannot be determined due to e.g. recording conditions which can corrupt the phase spectrum. In these scenarios, alternative strategies are required. This paper describes a method which, given the parameters of the glottal formant of the signal frame, can accurately parameterize the glottal shape source and vocal filter for a broad range of voice quality types and which is robust to the corruption of the phase spectrum. Index Terms: glottal inverse filtering, frequency domain, glottal models, glottal formant
https://arrow.dit.ie/argcon/51
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Harmonic Sound Source Separation using FIR Comb Filters
(2004)
Gainza, Mikel; Lawlor, Robert; Coyle, Eugene
Harmonic Sound Source Separation using FIR Comb Filters
(2004)
Gainza, Mikel; Lawlor, Robert; Coyle, Eugene
Abstract:
A technique for separating harmonic sound sources using FIR comb filters is presented. First, a pre-processing task is performed by a multipitch estimator to detect the pitches that the signal is composed of. Then, a method based on the Short Time Fourier Transform (STFT) is utilized to iteratively extract the harmonics belonging to a given source by using FIR comb filters. The presented approach improves upon exising sinusoidal model approaches in terms of the perceptual quality of the extracted signal.
https://arrow.dit.ie/argcon/36
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Harmonic Sound Source Separation using FIR Comb Filters
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Harmonic Sound Source Separation using FIR Comb Filters
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Abstract:
A technique for separating harmonic sound sources using FIR comb filters is presented. First, a pre-processing task is performed by a multipitch estimator to detect the pitches that the signal is composed of. Then, a method based on the Short Time Fourier Transform (STFT) is utilized to iteratively extract the harmonics belonging to a given source by using FIR comb filters. The presented approach improves upon existing sinusoidal model approaches in terms of the perceptual quality of the extracted signal.
http://mural.maynoothuniversity.ie/722/
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Interactive Music Archive Access System
(2010)
Gallagher, Martin; Gainza, Mikel; Fitzgerald, Derry; Barry, Dan; Cranitch, Matt; Coyle,...
Interactive Music Archive Access System
(2010)
Gallagher, Martin; Gainza, Mikel; Fitzgerald, Derry; Barry, Dan; Cranitch, Matt; Coyle, Eugene
Abstract:
The goal of the Interactive Music Archive Access System (IMAAS) project was to develop an interactive music archive access system which was capable of allowing an end-user to easily extract rhythmic, melodic and harmonic musical metadatadescriptors from audio, and allow the user to interact with the archive contents in a manner not typically allowed in archive access systems. To this end, the IMAAS system incorporates a range of real-time interaction tools which allow the user to modify the retrieved audio in a number of ways including the ability to isolate individual instruments in stereo mixes, pitch and timescale modification, and beat-synchronous looping. This demo gives an overview of the capabilities of the IMAAS application.
https://arrow.dit.ie/argcon/59
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Linear Prediction: The Problem, its Solution and Application to Speech
(2008)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel
Linear Prediction: The Problem, its Solution and Application to Speech
(2008)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel
Abstract:
Linear prediction is a signal processing technique that is used extensively in the analysis of speech signals and, as it is so heavily referred to in speech processing literature, a certain level of familiarity with the topic is typically required by all speech processing engineers. This paper aims to provide a well-rounded introduction to linear prediction, and so doing, facilitate the understanding of the technique. Linear prediction and its mathematical derivation will be described, with a specific focus on applying the technique to speech signals. It is noted, however, that although progress in linear prediction has been driven primarily by speech research, it involves concepts that prove useful to digital signal processing in general.
https://arrow.dit.ie/argcon/58
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Locating Tune Changes and Providing a Semantic Labelling of Sets of Irish Traditional Tunes
(2010)
Kelly, Cillian; Gainza, Mikel; Dorran, David; Coyle, Eugene
Locating Tune Changes and Providing a Semantic Labelling of Sets of Irish Traditional Tunes
(2010)
Kelly, Cillian; Gainza, Mikel; Dorran, David; Coyle, Eugene
Abstract:
An approach is presented which provides the tune change loactions within a set of Irish traditional turnes. Also provided are semantic labels for each part of each tune within the set. A set in Irish traditional music is a number of individual tunes played segue. Each of the tunes in the set are made up of structural segments called parts. Musical variation is a prominent characteristic of this genre. However, a certain set of notes known as "set accented tones" are considered impervious to musical variation. Chroma information is extracted at "set accented tone" locations within the music. The resulting chroma vectors are grouped to represent the parts of the music. The parts are then compared with one another to form a part similarity matrix. Unit kernels which represent the possible structures of an Irish traditional tuens are matched with the part similarity matrix to determine the tune change locations and semantic part labels.
https://arrow.dit.ie/argcon/49
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Machine annotation of sets of traditional Irish dance tunes
(2008)
Duggan, Bryan; O'Shea, Brendan; Gainza, Mikel; Cunningham, Padraig
Machine annotation of sets of traditional Irish dance tunes
(2008)
Duggan, Bryan; O'Shea, Brendan; Gainza, Mikel; Cunningham, Padraig
Abstract:
A set in traditional Irish music is a sequence of two or more dance tunes in the same time signature, where each tune is repeated an arbitrary number of times. A turn in a set represents the point at which either a tune repeats or a new tune is introduced. Tunes in sets are played in a segue (without a pause) and so detecting the turn is a significant challenge. This paper presents the MATS algorithm, a novel algorithm for identifying turns in sets of traditional Irish music. MATS works on digitised audio files of monophonic flute and tin-whistle music. Previous work on machine annotation of traditional music is summarised and experimental results validating the MATS algorithm are presented.
https://arrow.dit.ie/scschcomcon/22
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Machine Annotation of Sets of Traditional Irish Dance Tunes
(2008)
Duggan, Bryan; Gainza, Mikel; Cunningham, Padraig
Machine Annotation of Sets of Traditional Irish Dance Tunes
(2008)
Duggan, Bryan; Gainza, Mikel; Cunningham, Padraig
Abstract:
A set in traditional Irish music is a sequence of two or more dance tunes in the same time signature, where each tune is repeated an arbitrary number of times. A turn in a set represents the point at which either a tune repeats or a new tune is introduced. Tunes in sets are played in a segue (without a pause) and so detecting the turn is a significant challenge. This paper presents the MATS alogrithm, a novel algorithm for identifying turns in sets of traditional Irish music. MATS works on digitised audio files of monophonic flute and tin-whistle music. Previous work on machine annotation of traditional music is summarised and experimental results validating the MATS algorithm are presented.
https://arrow.dit.ie/argcon/1
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Multi Pitch Estimation by using IIR Comb Filters
(2005)
Gainza, Mikel; Lawlor, Robert; Coyle, Eugene
Multi Pitch Estimation by using IIR Comb Filters
(2005)
Gainza, Mikel; Lawlor, Robert; Coyle, Eugene
Abstract:
A technique for detecting the pitches of a polyphonic signal is presented. The system utilises modified IIR comb filters, which are generated to ensure that a null (stop band notches) exists at multiples of note frequencies and that a very flat pass band is present in the remain of the spectrum. Thus, the signal spectrum is not distorted after applying the filters to the audio signal, which is the case when using FIR comb filters. the presented approach improves upon an existing multi pitch detection model based on a FIR comb filter framework.
https://arrow.dit.ie/argcon/19
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Multi pitch estimation by using modified IIR Comb Filters
(2005)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Multi pitch estimation by using modified IIR Comb Filters
(2005)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Abstract:
A technique for detecting the pitches of a polyphonic signal of presented. The system utilises modified IIR comb filters, which are generated to ensure that n null (stop band notches) exists at multiples of note frequencies, and that a very flat pass band is present in the remain of the spectrum. Thus, the signal spectrum is not distorted after applying the filters 60 the audio signal, which is the case when using FIR comb filters. The presented approach improves upon an existing multi pitch detection model bared on an FIR comb filter framework,
http://mural.maynoothuniversity.ie/8807/
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Music Structure Segmentation using the Azimugram in conjunction with Principal Component Analysis
(2007)
Barry, Dan; Gainza, Mikel; Coyle, Eugene
Music Structure Segmentation using the Azimugram in conjunction with Principal Component Analysis
(2007)
Barry, Dan; Gainza, Mikel; Coyle, Eugene
Abstract:
A novel method to segment stereo music recordings into formal musical structures such as verses and choruses is presented. The method performs dimensional reduction on a time-azimuth representation of audio which results in a set of time activation sequences, each of which corresponds to a repeating structural segment. This is based on the assumption that each segment type such as verse or chorus has a unique energy distribution across the stereo field. It can be shown that these unique energy distributions along with their time activation sequences are the latent principal components of the time-azimuth representation. It can be shown that each time activation sequence represents a structural segment such as a verse or chorus.
https://arrow.dit.ie/argcon/44
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Music Transcription Within Irish Traditional Music
(2006)
Gainza, Mikel
Music Transcription Within Irish Traditional Music
(2006)
Gainza, Mikel
Abstract:
Transcribing Irish traditional music is an open-field of research. The oral transmission of the music between generations explains the lack of transcription until recent times. The music can be played solo, which permits the player to exploit the variety of ornamentation types, in unison, and also with the accompaniment of a harmonic instrument. Different signal processing applications for transcribing Irish traditional music are presented in this thesis, including onset, ornamentation and pitch detection. An onset detection system which focuses on the characteristics of the tin whistle within Irish traditional music is first presented. The tin whistle is a good example of the features of Irish traditional music, and the detection of its onset encounters all the problems associated with onset detection identified in the literature review. An extension of this method is also implemented in an effort to detect the most common types of ornamentation, which has not been attempted to dat...
https://arrow.dit.ie/engdoc/6
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On the Appearance of a Positive Real Pole in the Results of Glottal Closed Phase Linear Prediction
(2010)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel; Coyle, Eugene
On the Appearance of a Positive Real Pole in the Results of Glottal Closed Phase Linear Prediction
(2010)
O'Cinneide, Alan; Dorran, David; Gainza, Mikel; Coyle, Eugene
Abstract:
Often when performing glottal closed phase covariance linear prediction, a positive real pole can appear in the resulting filter transfer function. The commonly adopted approach is to discard this pole, as it does not fit with the usual model of the all-pole vocal tract filter. However, this real pole describes some aspect of the speech signal; this paper provides a novel perspective on its occurrence. This viewpoint has a useful implication to the speech community, especially from the perspective of fitting a glottal pulse to the inverse filtered signal, as the real pole describes the return phase of the glottal flow for certain voice types that adhere to a reasonable criterion. Tests with synthetic signals are performed to validate this approach.
https://arrow.dit.ie/argcon/50
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On the Use of a Dynamic Hybrid Tempo Detection Model for Beat Tracking
(2010)
Gainza, Mikel
On the Use of a Dynamic Hybrid Tempo Detection Model for Beat Tracking
(2010)
Gainza, Mikel
Abstract:
In this paper, an approach that estimates the times at which musical beats occur is presented. The system uses a hybrid multi-band decomposition in order to estimate the music tempo. Following this, beat events are tracked by using a dynamic programming approach, which is updated by using short time tempo estimates. The hybrid decomposition is used in order to calculate the tempo by using different onset detection functions in different frequency bands. In addition, a method that estimates which frequency bands provide reliable periodicities is also presented. The accuracy of the model is evaluated by comparing the presented system against existing approaches using a database of 474 songs.
https://arrow.dit.ie/argcon/79
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Onset based audio segmentation for the Irish tin whistle
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Onset based audio segmentation for the Irish tin whistle
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Abstract:
A technique for segmenting tin whistle audio signals according to the position of the note onsets is presented. This method focuses on the characteristics of the tin whistle within Irish traditional music, customising a time-frequency based representation for detecting the instant when a note starts and releases. Musical ornamentation, such as cuts and strikes, are very common in Irish traditional music and are played during the onset stage. Taking advantage of this musical feature, a novel technique for improving the onset time estimation is also presented.
https://arrow.dit.ie/engscheleart/101
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Onset Based Audio Segmentation for the Irish Tin Whistle
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Onset Based Audio Segmentation for the Irish Tin Whistle
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Abstract:
A technique for segmenting tin whistle audio signals according to the position of the note onsets is presented. This method focuses on the characteristics of the tin whistle within Irish traditional music, customising a time-frequency based representation for detecting the instant when a note starts and releases. Musical ornamentation, such as cuts and strikes, are very common in Irish Traditional music and are played during the onset stage. Taking advantage of this musical feature, a novel technique for improving the onset time estimation is also presented.
http://mural.maynoothuniversity.ie/702/
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Onset Detection and Music Transcription for the Irish Tin Whistle
(2004)
Gainza, Mikel; Lawlor, Robert; Coyle, Eugene; Kelleher, Aileen
Onset Detection and Music Transcription for the Irish Tin Whistle
(2004)
Gainza, Mikel; Lawlor, Robert; Coyle, Eugene; Kelleher, Aileen
Abstract:
A technique for detecting tin whistle note onsets and transcribing the corresponding pitches is presented. This method focuses on the characteristics of the tin whistle within Irish traditional music, customising a time-frequency based representation for extracting the instant when a note starts and the music notation. Results show that the presented approach improves upon the existing energy based approaches in terms of the percentage of correct detections.
https://arrow.dit.ie/argcon/23
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Onset Detection and Music Transcription for the Irish Tin Whistle
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Onset Detection and Music Transcription for the Irish Tin Whistle
(2004)
Gainza, Mikel; Lawlor, Bob; Coyle, Eugene
Abstract:
A technique for detecting tin whistle note onsets and transcribing the corresponding pitches is presented. This method focuses on the characteristics of the tin whistle within Irish traditional music, customising a time-frequency based representation for extracting the instant when a note starts and the music notation. Results show that the presented approach improves upon the existing energy based approaches in terms of the percentage of correct detections.
http://mural.maynoothuniversity.ie/697/
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