Using Adversarial Examples in Natural Language Processing

no code implementations • LREC 2018 • Petr B{\v{e}}lohl{\'a}vek, Ond{\v{r}}ej Pl{\'a}tek, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Milan Straka

Image Classification

Free on-line speech recogniser based on Kaldi ASR toolkit producing word posterior lattices

no code implementations • WS 2014 • Ond{\v{r}}ej Pl{\'a}tek, Filip Jur{\v{c}}{\'\i}{\v{c}}ek

Acoustic Modelling Language Modelling +1

Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users

no code implementations • WS 2014 • Ond{\v{r}}ej Du{\v{s}}ek, Ond{\v{r}}ej Pl{\'a}tek, Luk{\'a}{\v{s}} {\v{Z}}ilka, Filip Jur{\v{c}}{\'\i}{\v{c}}ek

Dialogue Management Language Modelling +4

Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license

no code implementations • LREC 2014 • Mat{\v{e}}j Korvas, Ond{\v{r}}ej Pl{\'a}tek, Ond{\v{r}}ej Du{\v{s}}ek, Luk{\'a}{\v{s}} {\v{Z}}ilka, Filip Jur{\v{c}}{\'\i}{\v{c}}ek

We present a dataset of telephone conversations in English and Czech, developed for training acoustic models for automatic speech recognition (ASR) in spoken dialogue systems (SDSs).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3