Detection of Overlapping Speech using a Convolutional Neural Network: First Experiments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952729" target="_blank" >RIV/49777513:23520/18:43952729 - isvavai.cz</a>

Výsledek na webu

<a href="http://hdl.handle.net/11025/29824" target="_blank" >http://hdl.handle.net/11025/29824</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of Overlapping Speech using a Convolutional Neural Network: First Experiments

Popis výsledku v původním jazyce

Many speech processing applications, such as speaker diarization and speech recognition, have problems with overlapping speech, i.e. intervals in which multiple speakers are talking simultaneously. This happens particularly often in spontaneous conversations, where speakers may regularly interrupt each other or interject short utterances while the original speaker keeps talking. Detecting such occurrences can help improve the performance of the impacted systems. However, this is still an actively researched task, which has not yet been fully solved. In this work, I describe my initial experiments in using a convolutional neural network (CNN) to detect overlapping speech in an artificial dataset created for the purpose.

Název v anglickém jazyce

Detection of Overlapping Speech using a Convolutional Neural Network: First Experiments

Popis výsledku anglicky

Many speech processing applications, such as speaker diarization and speech recognition, have problems with overlapping speech, i.e. intervals in which multiple speakers are talking simultaneously. This happens particularly often in spontaneous conversations, where speakers may regularly interrupt each other or interject short utterances while the original speaker keeps talking. Detecting such occurrences can help improve the performance of the impacted systems. However, this is still an actively researched task, which has not yet been fully solved. In this work, I describe my initial experiments in using a convolutional neural network (CNN) to detect overlapping speech in an artificial dataset created for the purpose.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů