<div dir="ltr"><p dir="ltr" style="line-height:1.656;margin-top:12pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Hola,</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">En este cuatrimestre se vuelve a ofertar una materia optativa sobre procesamiento del habla y en esta ocasión con nuevos contenidos sobre procesamiento de señales y audio! Quedan todos invitados a cursar </span><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Procesamiento de señales, audio y habla.</span><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> Web del curso </span><a href="https://sites.google.com/view/audioexactas" target="_blank" style="text-decoration-line:none"><span style="font-size:10pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://sites.google.com/view/audioexactas</span></a></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Detalles del curso:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Días y horarios:</span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> Jueves de 9 a 13 h (presencial)</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Carga horaria:</span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> 4 horas semanales</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Evaluación:</span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> ejercicios semanales + un parcial + un trabajo final con presentación</span></p></li></ul><p dir="ltr" style="line-height:1.656;margin-top:12pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Créditos y puntos:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">3 puntos de optativa para Licenciatura en Computación (plan 93).</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">64 créditos para Licenciatura en Computación (plan 2023).</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">64 horas para la carrera de Ciencia de Datos.</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">puntos </span><span style="font-size:10pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">a confirmar</span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> para el Doctorado en Computación.</span></p></li></ul><p dir="ltr" style="line-height:1.656;margin-top:12pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Correlativas obligatorias:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Para Lic. en Computación:</span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> Probabilidad y Estadística, Métodos Numéricos y Algoritmos III.</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Para Lic. en Ciencia de Datos:</span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> Probabilidad, Álgebra Lineal Computacional y Algoritmos III.</span></p></li><li dir="ltr" style="margin-left:11pt;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Para Lic. en Física: </span><span style="font-size:10pt;background-color:transparent;font-weight:400;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Laboratorio 5, Física Teórica 3 y Cálculo Numérico. </span></p></li></ul><br><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Resumen:</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">La materia tiene como objetivo introducir a los estudiantes en conceptos esenciales relacionados con el procesamiento de señales, audio y habla, abordando tanto enfoques tradicionales como las técnicas actuales basadas en redes neuronales. Este curso proporcionará a los participantes una primera exposición a los fundamentos del procesamiento de señales, incluyendo filtros y análisis de Fourier y modelos clásicos para el modelado de secuencias como cadenas de Markov ocultas y procesamiento de secuencias con autómatas. Luego se pasará a ver métodos actuales basados en redes neuronales como el aprendizaje de representaciones auto-supervisado, codecs neuronales y síntesis de audio. Así mismo se verán temas de acústica, producción de habla, </span><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:13.3333px">modelos de lenguaje y</span><span style="background-color:transparent;color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:10pt"> buenas prácticas de aprendizaje automático. Dentro de las aplicaciones, se verán temas como reconocimiento y síntesis de habla, reconocimiento de géneros musicales, detección de emociones, entre otros.</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:12pt;padding:12pt 0pt 0pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Contenidos principales:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Análisis de señales en el dominio del tiempo y de la frecuencia, procesamiento de señales en tiempo real, análisis espectral.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Acústica, producción y percepción del sonido, sistema fonador, fonética.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Modelado de lenguaje, secuencias y series de tiempo (ARMA, HMM, N-GRAMS, FSTs)</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Aprendizaje profundo en señales, redes neuronales, CNNs, RNNs, transformers.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Reconocimiento automático y síntesis de habla </span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Aprendizaje de representaciones, autoencoders, transferencia de aprendizaje a problemas de habla y audio</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Modelos generativos, audio-LMs, síntesis de música, compresión de audio, denoising.</span></p></li></ul><p dir="ltr" style="line-height:1.656;margin-top:12pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Bibliografía: <a href="https://sites.google.com/view/audioexactas/p%C3%A1gina-principal#h.l18qb4ol3vv5" target="_blank">detalles en la web</a></span></p><p dir="ltr" style="line-height:1.656;margin-top:12pt;margin-bottom:12pt">Saludos<font color="#888888"><br>Pablo Riera</font></p></div>