Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?

no code implementations • LREC 2016 • Maxim Sidorov, Alex Schmitt, er, Eugene Semenkin, Wolfgang Minker

Emotion Recognition (ER) is an important part of dialogue analysis which can be used in order to improve the quality of Spoken Dialogue Systems (SDSs).

Emotion Recognition Spoken Dialogue Systems

Opinion Mining and Topic Categorization with Novel Term Weighting

no code implementations • WS 2014 • Tatiana Gasanova, Roman Sergienko, Shakhnaz Akhmedova, Eugene Semenkin, Wolfgang Minker

Information Retrieval Opinion Mining +2

Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm

no code implementations • LREC 2014 • Maxim Sidorov, Christina Brester, Wolfgang Minker, Eugene Semenkin

Automated emotion recognition has a number of applications in Interactive Voice Response systems, call centers, etc.

Emotion Recognition feature selection +2

A Semi-supervised Approach for Natural Language Call Routing

no code implementations • WS 2013 • Tatiana Gasanova, Eugene Zhukov, Roman Sergienko, Eugene Semenkin, Wolfgang Minker

Document Classification Information Retrieval +1

Speech and Language Resources for LVCSR of Russian

no code implementations • LREC 2012 • Sergey Zablotskiy, Alex Shvets, er, Maxim Sidorov, Eugene Semenkin, Wolfgang Minker

In this paper a method for the syllable concatenation and error correction is suggested and tested.

Language Modelling Sentence