Lorenzo J. Tardon

Lorenzo J. Tardon
University of Malaga | UMA · Department of Communications Engineering

PhD in Telecommunications Engineering

About

104
Publications
23,537
Reads
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692
Citations
Additional affiliations
October 2017 - present
University of Malaga
Position
  • Professor (Full)
December 2002 - October 2017
University of Malaga
Position
  • Professor (Associate)
October 1999 - December 2002
University of Malaga
Position
  • Professor (Assistant)
Education
October 1995 - May 1999
Universidad Politécnica de Madrid
Field of study
  • Telecommunications Engineering, Signal Processing
September 1990 - July 1995
University of Valladolid
Field of study
  • Telecommunications Engineering

Publications

Publications (104)
Preprint
Full-text available
This manuscript describes and implementation of scripts of code aimed at reducing the influence of artifacts, specifically focused on ocular artifacts, in the measurement and processing of electroencephalogram (EEG) signals. This process is of importance because it benefits the analysis and study of long trial samples when the appearance of ocular...
Preprint
Full-text available
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this manuscript is to advance in the classification of brain responses to music of diverse genres and to sounds of different nature: spee...
Preprint
Full-text available
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to specific mental processes. Normally, they are considered on the basis of averages across a number of trials. However, there exist...
Preprint
Full-text available
In this paper, a system to build music in an intuitive and accessible way, with Lego bricks, is presented. The system makes use of the new powerful and cheap possibilities that technology offers for making old things in a new way. The Raspberry Pi is used to control the system and run the necessary algorithms, customized Lego bricks are used for bu...
Preprint
Full-text available
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological disorder detection and emotion and mental activity recognition. In this paper, a new method for mental activity recognition is prese...
Preprint
Full-text available
The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identi...
Preprint
Full-text available
We dealt with the problem of artifacts in eeg signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in eeg signals,their influence in the analysis of the data and alternatives to diminish their impact on later studies of brain activity on lengthy tasks. We proposed a scheme of partial rejection on indep...
Article
Full-text available
This manuscript describes an implementation of scripts of code aimed at reducing the influence of artifacts, specifically focused on ocular artifacts, in the measurement and processing of electroencephalogram (EEG) signals. This process is of importance because it benefits the analysis and study of long trial samples when the appearance of ocular a...
Article
The enrolment of women in STEM (Science, Technology, Engineering, Mathematics) degrees and, in particular, in telecommunications engineering shows a decreasing trend. Among the general competences common to all the degrees taught at the E.T.S.I. de Telecommunications of the University of Malaga, there is the G-01, which is the ability to assume and...
Article
Full-text available
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this manuscript is to advance in the classification of brain responses to music of diverse genres and to sounds of different nature: spee...
Article
Full-text available
In this paper, a system to build music in an intuitive and accessible way, with Lego bricks, is presented. The system makes use of the new powerful and cheap possibilities that technology offers for making old things in a new way. The Raspberry Pi is used to control the system and run the necessary algorithms, customized Lego bricks are used for bu...
Article
Full-text available
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological disorder detection and emotion and mental activity recognition. In this paper, a new method for mental activity recognition is prese...
Article
Full-text available
Brain responses are often studied under strictly experimental conditions in which electroencephalograms (EEGs) are recorded to reflect reactions to short and repetitive stimuli. However, in real life, aural stimuli are continuously mixed and cannot be found isolated, such as when listening to music. In this audio context, the acoustic features in m...
Article
Full-text available
The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identi...
Article
The aim of computer-aided musical orchestration (CAMO) is to find a combination of musical instrument sounds that perceptually approximates a reference sound when played together. The complexity of timbre perception and the combinatorial explosion of all possible musical instrument sound combinations make it very challenging to find even one orches...
Article
Full-text available
The 16th Sound and Music Computing Conference (SMC 2019) took place in Malaga, Spain, 28–31 May 2019 and it was organized by the Application of Information and Communication Technologies Research group (ATIC) of the University of Malaga (UMA). The SMC 2019 associated Summer School took place 25–28 May 2019. The First International Day of Women in I...
Conference Paper
Reaction times (RTs) are an important source of information in experimental psychology and EEG data analysis. While simple auditory RT has been widely studied, response time when discriminating between two different auditory stimuli have not been determined yet. The purpose of this experiment is to measure the RT for the discrimination between two...
Article
Full-text available
We dealt with the problem of artifacts in EEG signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in EEG signals, their influence in the analysis of the data and alternatives to diminish their impact on later studies of brain activity on lengthy tasks. We proposed a scheme of partial rejection of inde...
Article
Automatic Music Transcription can be defined as the analysis of the acoustic signal to extract a symbolic representation of music. Existing transcription systems typically consider just the notes played at a given moment; however, other aspects such as expressiveness and playing technique can also be considered. This work is focused on how chords a...
Chapter
Full-text available
New interactive music services have emerged, but many of them use proprietary file formats. In order to enable interoperability among these services, the International Organization for Standardization (ISO)/International Electrotechnical Commission (IEC) Moving Picture Experts Group (MPEG) issued a new standard, the so-called MPEG-A: Interactive Mu...
Chapter
Traditionally, singing skills are learned and improved by means of the supervised rehearsal of a set of selected exercises. A music teacher evaluates the user's performance and recommends new exercises according to the user's evolution.
Article
In this paper, a novel probabilistic model of harmonic progressions and a generation scheme based on such model are presented. On the basis of the large amount of publications that show the stochastic nature of the music and the possibility of modelling it by means of statistical processes, this paper shows how to create a non-homogeneous Markov ch...
Article
Full-text available
In this paper, a scheme to synthesize and convert singing voice into tuba sound is presented. First, our method estimates the fundamental frequency (F 0) and the aperiodicity of a monophonic audio signal, in order to obtain the pitch and volume variations of human voice. Then, the parameters extracted are used to generate a musical excerpt emulatin...
Article
Full-text available
The aim of the present work is to perform a step towards more natural pitch shifting techniques in singing voice for its application in music production and entertainment systems. In this paper, we present an advanced method to achieve natural modifications when applying a pitch shifting process to singing voice by modifying the spectral envelope o...
Article
The aim of the present work is to design a system for automatic classification of personal video recordings based on simple audiovisual features that can be easily implemented in different devices. Specifically, the main objective is to classify frame by frame personal video recordings into 24 semantically meaningful categories. Such categories inc...
Article
Full-text available
In this paper, we present a system for the detection of fast gestural motion by using a linear predictor of hand movements. We also use the proposed detection scheme for the implementation of a virtual drumkit simulator. A database of drum-hitting motions is gathered and two different sets of features are proposed to discriminate different drum-hit...
Article
In this paper, we present a method for monophonic singing transcription based on hysteresis defined on the pitch-time curve. This method is designed to perform note segmentation even when the pitch evolution during the same note behaves unstably, as in the case of untrained singers. The selected approach estimates the regions in which the chroma is...
Article
In this paper, a new rhythm based game for tutored music learning is presented. The main differences with similar existing systems are: i) songs can be automatically extracted from any music file or printed score; ii) it works with multiple interfaces, ranging from any MIDI controller to most popular game controllers; iii) note sequences are obtain...
Article
In this paper, an implementation of a virtual reality based application for drumkit simulation is presented. The system tracks user motion through the use of a Kinect camera sensor, and recognizes and detects user-generated drum-hitting gestures in real-time. In order to compensate the effects of latency in the sensing stage and provide real-time i...
Article
This paper presents a novel method to analyse the tonal behaviour of a music piece. The method is based on the development of a novel probability model of the predominant key using the well known Pitch Class Profile (PCP or chroma) descriptor. This feature represents the importance of each note of the chromatic scale within the spectral content of...
Article
Full-text available
Staff detection and removal is one of the most important issues in optical music recognition (OMR) tasks since common approaches for symbol detection and classification are based on this process. Due to its complexity, staff detection and removal is often inaccurate, leading to a great number of errors in posterior stages. For this reason, a new ap...
Article
In this paper, an augmented reality application for drumkit simulation is presented. The system is capable of classifying any percussive sounds produced by the user from an everyday desktop environment, e.g. clapping, snapping, stroking different objects with a pencil, etc., recognizing up to six different classes of drum hits. These different type...
Conference Paper
In this paper, we propose a method to synthesize the natural variations of spectral envelope as intensity varies in singing voice. To this end, we propose a parametric model of spectral envelope based on novel 4-pole resonators as formant filters. This model has been used to analyse 60 vowels sung at different intensities in order to define a set o...
Article
In this paper, a method for automatic reduction of dissonance in recorded isolated chords is proposed. Previous approaches address this problem using source separation and note-level processing. In our approach, we manipulate the harmonic structure as a whole in order to avoid beating partials which, according to prior research on dissonance percep...
Conference Paper
Full-text available
New interactive music services have emerged, despite currently using proprietary file formats. Having a standardized file format could benefit the interoperability between these services. In this regard, the ISO/IEC Moving Picture Experts Group (MPEG) issued a new standard, the so called, MPEG-A: Interactive Music Application Format (IM AF). The pu...
Conference Paper
This paper presents a generic approach for automatic singing assessment for basic singing levels. The system provides the user with a set of intonation, rhythm and overall ratings obtained by measuring the similarity of the sung melody and a target performance. Two different similarity approaches are discussed: f0 curve alignment through Dynamic Ti...
Conference Paper
This paper presents a low-cost add-on sensor that has been developed to provide other systems with music listening and note detection capabilities. This sensor has been integrated as part of an intelligent system for solfeo learning. The system is capable of listening the performance of a user as well as assessing the correctness of both the rhythm...
Chapter
In this chapter, the use of advanced human computer interfaces to create innovative interaction paradigms for music applications (music creation, music manipulation, music games, etc.) is explored. The advances in the design and implementation of sensing technologies have provided the means to create new ways to interact with computers in a more na...
Chapter
This chapter presents the summary and the discussion of this book and database. In this book the UMA-Piano chord music Data Base is presented as well as an engineering point of view of harmony. This book ends with a discussion of the future improvements of the database presented.
Chapter
This chapter describes the content of the UMA piano chord database. First, the chords selected for the database and the naming convention of the played notes is presented. The naming convention used has musical meaning which is a new feature in this type of database. Finally, the content of the database organized by the polyphony number is shown.
Chapter
This chapter presents the foundations of harmony needed to understand the basis of musical chords. This chapter starts with a brief description of how a musical note could be characterized in the time domain and in the frequency domain. Chords are based on the relation between notes. The relation between notes are the musical intervals and the musi...
Conference Paper
This chapter describes two different approaches using the variogram in the context of Mel Frequency Cepstral Coefficients (MFCCs) and the evaluation of music similarity. The first approach is referred to as the full variogram approach; in this case, all the lags of the variogram of the second coefficient of the MFCC are employed. The second choice...
Chapter
This book describes the content and the specifications of the UMA-Piano chord database, a piano database compiled specifically for research purposes. Shared database in the field of music information processing are now becoming common and allow to compare different methods with the same test set. There exist several examples of instrument sound dat...
Book
Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image proc...
Book
Full-text available
Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image proc...
Article
In this article a multidimensional environment is defined to allow the exploration of musical content in a novel way by means of three-dimensional interfaces. The environment is created so that musical content can be located in a comprehensive space in which the world coordinates are related to music genres. To this end, the songs in a database are...
Article
In this paper, a system for the extraction of the tablature of guitar musical pieces using only the audio waveform is presented. The analysis of the inharmonicity relations between the fundamentals and the partials of the notes played is the main process that allows to estimate both the notes played and the string/fret combination that was used to...
Article
This paper proposes a method for extracting the fingering configurations automatically from a recorded guitar performance. 330 different fingering configurations are considered, corresponding to different versions of the major, minor, major 7th, and minor 7th chords played on the guitar fretboard. The method is formulated as a hidden Markov model,...
Article
In this work, we focus on vehicular ad hoc networks, also called VANETs, which are communication networks that devices (in this case vehicles) use to exchange messages in a decentralized fashion, i.e., using no preexisting infrastructure. We first assess the feasibility of relying on a tree-based topology management structure for mobile ad hoc netw...
Conference Paper
Full-text available
In this paper, a Successive Interference Cancellation (SIC) receiver typically used for Code Division Multiple Access (CDMA) communications is developed to be used as piano chord detector. The piano notes are modeled as CDMA users by means of the definition of an adequate note pattern. The notes are detected in a successive way and also the estimat...
Conference Paper
Full-text available
In this paper a humming method for music information retrieval is presented. The system uses a database with real songs and does not need another type of symbolic representation of them. The system employs an original fingerprint based on chroma vectors to characterize the humming and the references songs. With this fingerprint, it is possible to g...
Conference Paper
In this paper, several examples of what signal processing can do in the music context will be presented. In this contribution, music content includes not only the audio files but also the scores. Using advanced signal processing techniques, we have developed new tools that will help us handling music information, preserve, develop and disseminate o...
Conference Paper
In this paper, an automatic system for the extraction of the region of interest in ancient scores is presented. The system is able to separate the image into two pages, when needed, then, using images that contain one page of score, the method performs a correction of the rotation before estimating the region of interest. For the estimation of the...
Article
Full-text available
In this paper, a piano chords detector based on parallel interference cancellation (PIC) is presented. The proposed system makes use of the novel idea of modeling a segment ofmusic as a third generation mobile communications signal, specifically, as a CDMA (Code Division Multiple Access) signal. The proposed model considers each piano note as a CDM...
Article
In this paper, the problem of the design of a simple and efficient music-speech discriminator for large audio data sets in which advanced music playing techniques are taught and voice and music are intrinsically interleaved is addressed. In the process, a number of features used in speech-music discrimination are defined and evaluated over the avai...
Article
Full-text available
Most of methods for audio similarity evaluation are based on the Mel frequency cepstral coefficients, employed as main tool for the characterization of audio contents. Such approach needs some way of data compression aimed to optimize the information retrieval task and to reduce the computational costs derived from the usage of cluster ana-lysis to...
Article
Full-text available
In this paper, an automatic system to locate frontispieces in ancient scores is presented. The system is able to identify images containing two pages and separate them. Then, the algorithm performs a correction of the rotation. The next step is to delimit the area of interest which will be used along the next steps. After that, a mask containing th...
Article
A complete system with an interactive graphical user interface for Optical Music Recognition, specially adapted for scores written in white mensural notation of the 17th and 18th centuries, is described in this paper. Color photographies, or scanned images, are used as inputs to the system. A series of pre-processing steps are aimed to improve thei...
Article
One of the main tasks of a polyphonic transcription system is the estimation of the number of voices, i.e. the polyphony number. The correct estimation of this parameter is very important for polyphonic transcription systems, this task has not been discussed in depth in the known transcription systems. The aim of this paper is to propose a novel es...
Conference Paper
A complete system with an interactive graphical user inter face for Optical Music Recognition, specially adapted for scores written in white mensural notation of the 17th and 18th centuries, is described in this paper. Color photographies, or scanned images, are used as inputs to the system. A series of pre-processing steps are aimed to improve the...
Conference Paper
Full-text available
VANETs are ad hoc networks in which devices are vehicles moving at high speeds. This kind of network is getting more and more importance since it has many practical and important applications, like multimedia file sharing (e.g., maps, music, news, weather), or dissemination of alarm messages (e.g., accidents, traffic jams, bad road conditions). One...
Conference Paper
In this contribution, an automatic system of song edition for Guitar Hero/Frets on Fire is presented. The system performs three fundamental stages: time analysis, frequency analysis and button allocation. The temporal analysis of the musical signal is used to obtain the rhythmic pattern of the song. The frequency analysis is perform on the basis of...
Conference Paper
Full-text available
In this paper, a transcription system for music played by violin is presented. The transcription system not only detects the pitch and duration of the notes but also identifies successfully the employed technique to play each note: detache with and without accent and with and without vibrato, pizzicato, tremolo, spiccato and flageolett-tone. The tr...
Article
Full-text available
An Optical Music Recognition (OMR) system especially adapted for handwritten musical scores of the XVII-th and the early XVIII-th centuries written in white mensural notation is presented. The system performs a complete sequence of analysis stages: the input is the RGB image of the score to be analyzed and, after a preprocessing that returns a blac...
Article
In classic and acoustic guitars that use standard tuning, the same pitch can be produced at different strings. The aim of this article is to present a method based on the time and frequency-domain characteristics of the recorded sound to determine, not only the pitch but also the string of the guitar that has been played to produce that pitch. This...