Jose R. Zapata

Data Science Technical Leader
PhD in Information and Communication Technologies

Mercado Libre

Data Science Technical Leader at Mercado Libre. Researcher at GIDATIC and Professor at the Faculty of Information and Communication Technologies (TIC), Universidad Pontificia Bolivariana (UPB).

My interests are based around Data science, MLOps and Audio and Music information technologies, which includes Music information retrieval, Machine Learning, CI/CD/CT, Audio analysis and Data analysis. EN ESPAÑOL

Interests

Data science
MLOps
Music Information Retrieval
Audio signal processing
Python
Guitar

Education

PhD in Information and Communication Technologies, 2013
Universitat Pompeu Fabra (UPF), Spain
MEng in Telecommunications, 2008
Universidad Pontificia Bolivariana (UPB), Colombia
BSc in in Electronic Engineering, 2002
Universidad Pontificia Bolivariana (UPB), Colombia

Skills

Python

Pandas, Numpy, Matplotlib, Plotly, Seaborn, BeautifulSoup, Selenium

Data Science

Python, SQL, Pandas, BigQuery

Machine Learning &
Deep Learning

Scikit-learn, Pytorch, NLP, Spacy

MLOps

Kedro, MLflow, Deepchecks, DVC, great expectations

Signal Processing

and Frequency Analysis of signals

Programming

SQL, Git, CI/CD, Bash, Linux

Blog

En Español

Estructura Base para Proyectos de Ciencia de datos

Proceso de creación de una estructura base para proyectos de ciencia de datos con Python, teniendo en cuenta buenas prácticas de desarrollo de software y las herramientas de MLOps.

Album Lofi con Python Version Cero

Generacion automatica musica LoFi y videos con Python utilizando técnicas de inteligencia artificial y procesamiento de audio.

Paso a paso en un Proyecto Machine Learning

Checklist y preguntas para realizar un proyecto de machine learning

Visualizacion Datos Coronavirus (COVID19) Mundial con Plotly

Visualizaciones con Python y Plotly de los datos mundiales del corona virus COVID19

Pyspark con Google Colab

Configuracion de Google Colab para usar pyspark

Tutorial de Produccion de Audio con Reaper

Tutorial en Video y material produccion basica de Audio con Reaper

Tips para la Exposición del Proyecto de Grado

Tips para crear las diapositivas y para realizar la exposición del anteproyecto del trabajo de grado

Projects

Data science project template

Template for a data science projects with software development tools

Acmus

Research Project to explore the use of machine learning techniques for computational musicology, digital music archive managment, and music information retrieval.Two main elements are the core of our project: 1. Emphasis on semi-supervised and unsupervised machine learning techniques that minimally rely on the availability of annotated data for a specific task. 2. Traditional Colombian music as the main focus of our study.

Multifeature Beat tracker

Matlab implementation of the Multi Feature Beat Tracker (Information Gain and Regularity), The essentia beat tracker, More details in Multi-Feature Beat Tracking

Essentia

Open-source C++ library for audio analysis and audio-based music information retrieval. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set of spectral, temporal, tonal and high-level music descriptors. More details in Essentia: An Audio Analysis Library for Music Information Retrieval

SMC Beat tracking Dataset

This beat tracking dataset contains 217 excerpts around 40s each, of which 19 are easy and the remaining 198 are hard. This dataset has been designed for radically new techniques which can contend with challenging beat tracking situations like: quiet accompaniment, expressive timing, changes in time signature, slow tempo, poor sound quality etc. More details in Selective Sampling for Beat Tracking Evaluation

Selected Publications

Jose R. Zapata, Matthew E.P. Davies, Emilia Gómez

April, 2014 IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 22, No. 4, P. 816-825

Multi-Feature Beat Tracking

Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, Jose R. Zapata, Xavier Serra

November, 2013 14th International Society for Music Information Retrieval Conference (ISMIR 2013), P. 493-498, Curitiba, Brazil

Essentia: An Audio Analysis Library for Music Information Retrieval

Andre Holzapfel, Matthew EP Davies, Jose R. Zapata, João Lobato Oliveira, Fabien Gouyon

November, 2012 IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, No. 9, P. 2539-2548

Selective Sampling for Beat Tracking Evaluation

Publications

Quickly discover relevant content by filtering publications.

Estefanía Cano, Fernando Mora-Ángel, Gustavo López Gil, Jose R. Zapata, Antonio Escamilla, Juan Fernando Alzate Londoño, Moisés Betancur Peláez (2021). Sesquialtera in the Colombian Bambuco: Perception and Estimation of Beat and Meter – Extended version. Transactions of the International Society for Music Information Retrieval, 4(1), pp.248-262.

PDF Code Dataset DOI

Estefanía Cano, Fernando Mora-Ángel, Gustavo López Gil, Jose R. Zapata, Antonio Escamilla, Juan Fernando Alzate Londoño, Moisés Betancur Peláez (2020). Sesquialtera in the Colombian Bambuco: Perception and Estimation of Beat and Meter. International Society for Music Information Retrieval Conference (ISMIR 2020).

PDF Code Dataset

Estefanía Cano, Antonio Escamilla, Sascha Grollmisch, Christian Kehling, Fernando Mora-Ágnel, Gustavo López Gil, Jose R. Zapata (2019). ACMUS - Advancing Computational Musicology: Semi-supervised and Unsupervised Segmentation and Annotation of Musical Collections. International Society for Music Information Retrieval Conference (ISMIR 2019).

PDF Code Dataset Project Poster

Jose R. Zapata (2016). Tempo Estimation. In Music Data Analysis: Foundations and Applications (pp. 493-510), Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph (Eds.), Chapman & Hall/CRC, 2016, ISBN 9781498719568.

DOI

Jose R. Zapata, Matthew E.P. Davies, Emilia Gómez (2014). Multi-Feature Beat Tracking. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 22, No. 4, P. 816-825.

PDF Cite Code DOI

Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, Jose R. Zapata, Xavier Serra (2014). Essentia: an open source library for audio analysis. ACM SIGMM Records, Vol. 6, No. 1, P. 18-21.

PDF Code Project Source Document

Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, Jose R. Zapata, Xavier Serra (2013). Essentia: An Audio Analysis Library for Music Information Retrieval. 14th International Society for Music Information Retrieval Conference (ISMIR 2013), P. 493-498, Curitiba, Brazil.

PDF Cite Code Project Source Document DOI Conference

Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, Jose R. Zapata, Xavier Serra (2013). Essentia: an open-source library for sound and music analysis. 21st ACM international conference on Multimedia (ACM Multimedia 2013, MM ‘13), P. 855-858, Barcelona, Spain.

PDF Code Project Source Document DOI

Jose R. Zapata (2013). Comparative evaluation and combination of automatic rhythm description systems. Music Technology Group (MTG), Universitat Pompeu Fabra.

PDF Code Project Slides Source Document

Jose R. Zapata, Emilia Gómez (2013). Using voice suppression algorithms to improve beat tracking in the presence of highly predominant vocals. IEEE The 38th International Conference on Acoustics, Speech, and Signal Processing , ICASSP 2013, P. 51-55 , Vancouver, Canada.

PDF Dataset Slides DOI Conference

Andre Holzapfel, Matthew EP Davies, Jose R. Zapata, João Lobato Oliveira, Fabien Gouyon (2012). Selective Sampling for Beat Tracking Evaluation. IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, No. 9, P. 2539-2548.

PDF Cite Dataset DOI

Jose R. Zapata, Matthew EP Davies, Andre Holzapfel, João Lobato Oliveira, Fabien Gouyon (2012). Assigning a confidence threshold on automatic beat annotation in large datasets. 13th International Society for Music Information Retrieval Conference (ISMIR 2012), P.157-162, Porto, Portugal.

PDF Slides DOI

Jose R. Zapata, Emilia Gómez (2012). Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study. The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR 2012), London, UK.

PDF Dataset Conference

Andre Holzapfel, Matthew EP Davies, Jose R. Zapata, João Lobato Oliveira, Fabien Gouyon (2012). On the automatic identification of difficult examples for beat tracking: towards building new evaluation datasets. IEEE The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), P. 89-92 Kyoto, Japan.

PDF Dataset DOI

Jose R. Zapata, Emilia Gómez (2011). Comparative Evaluation and Combination of Audio Tempo Estimation Approaches. 42nd AES International Conference, Semantic Audio (Audio Engineering Society), P.198-207, Ilmenau, Germany..

PDF Dataset Poster AES

Jose R. Zapata, Ricardo A. Garcia (2008). Efficient Detection of Exact Redundancies in Audio Signals. Audio Engineering Society Convention 125, Paper = 7504, San Francisco, EE.UU.

PDF AES Conference

Jose R. Zapata, Tony Peñarredonda (2004). Control de Rango Dinamico en Audio con Logica Difusa. 3ra Conferencia Iberoamericana en Sistemas, Cibernética e Informática CISCI 2004, Orlando, EE.UU.

Talks

Noticias Falsas: ¿Por qué son incontrolables? Podcast HumanaMente Ep.9

Es claro que los algoritmos si influencian nuestras vidas y estamos expuestos a la merced de quienes con ocultas intenciones o intereses particulares montan estructuras coordinadas de manipulación de la opinión, del control y del comportamiento

Oct 14, 2020 — podcast

Jose R. Zapata

Comprensión de la música con Python, una mirada desde la Física y la Matemática

Python para demostrar y visualizar la naturaleza de las ondas del sonido, la relación entre diferentes notas y como se unen para crear la Armonía Musical desde la Física y la Matemática

Feb 7, 2020 12:35 PM — 1:15 PM Universidad Eafit

Jose R. Zapata

Aplicaciones de Audio con Machine Learning

Mediante la extraccion automatica del contenido de las señales de audio y Machine learning se tienen aplicaciones de predicción, clasificación y Agrupamiento, como: Deteccion de emociones en la voz (Speech Emotion), Reconocieminto de Voz (Speech-to-Text), Deteccion y segmentacion de personas hablando(Speaker Diarization), Music Information Retrieval (Extraccion Automatica de Informacion Musical), entre otros.

Oct 2, 2018 6:00 PM — 7:00 PM

Jose R. Zapata

Aplicaciones de Audio con Machine Learning

Audio signal analysis with python

Using Python for Audio signal analysis and Music Information Retrieval applications.

Feb 9, 2018 11:40 AM — 5:12 PM Universidad Eafit

Jose R. Zapata

Sistemas Automaticos para Extraccion de Información Musical (Generalidades y Aplicaciones)

El Music Information Retrieval (MIR), que tiene como objetivo extraer, analizar y procesar automaticamente la informacion musical en señales de audio para diferentes aplicaciones musicales e informaticas. Las principales tareas en MIR, son Beat tracking, deteccion de melodia, deteccion de acordes, fingerprinting, recomendacion de música, procesamiento de señales de audio, entre otras aplicaciones

Jul 22, 2016 2:00 PM — 3:15 PM Universidad San Buenaventura

Jose R. Zapata

Teaching

Current and past, postgraduate and undergraduate courses at the Universidad Pontificia Bolivariana (UPB)

Postgraduate Courses	│	UnderGraduate Courses
Python for Data Science	│	Machine Learning
Audio Data Mining	│	Signals and Systems
Principles of Image Processing	│	Data Mining
Audio Processing	│	Principles of Audio
Signal Processing	│	Audio Applications
Telecommunications Principles	│	Telecommunications Theory & Lab
Matlab	│	Tx Lines and antennas