Speech & natural language publications

We propose a novel approach for noise-robust speaker recognition, where the model of distortions caused by additive and convolutive noises is integrated into the i-vector extraction framework.

This paper shows that fusion of multiple noise robust feature streams motivated by speech production and perception theories help to significantly improve the robustness of traditional speech recognition systems.

This article describes our submission to the speaker identification (SID) evaluation for the first phase of the DARPA Robust Audio and Transcription of Speech (RATS) program. 

We explored the use of neural probabilistic language models and a TF-IDF weighted variant of Explicit Semantic Analysis.

This paper demonstrates that the proposed iterative approach is superior to conventional acoustically-referenced dynamic timing-warping procedures and provides reliable gestural annotation for speech datasets.

This presentation describes the findings of the VERUS project in using virtual world language usage behavior to identify real world demographic attributes.

This work proposes the use of discriminative training to construct a phoneme confusion model, which expands the phonemic index of a KWS system by adding phonemic variation to handle the…

This paper focuses on the identification of seven speaker trait categories from the Interspeech Speaker Trait Challenge: likeability, intelligibility, openness, conscientiousness, extraversion, agreeableness, and neuroticism.

This study examines a large corpus of online gaming chat and avatar names to explore gender differences in virtual world (VW) language use.

We evaluate the effect that improved audio quality has for speaker verification performance, using a recently released full-bandwidth version of microphone data from the SRE2010 evaluation.

In this work, we extend our approach with the use of model adaptation and discriminative modeling techniques, inspired on methods that have been effective in the area of speaker identification.

Knowledge of the nuisance characteristics present in the signal can be used to improve performance of the system. In some cases, the nature of these nuisance characteristics is known a…