Before revision:  The system is made up of two blocks - the first block gen-erates a transcript of discovered phonetic units for the inputaudio , and the second block which performs intent classifi-cation from the generated phonemic transcripts. Our workpresents results for such a system for two languages families- Indic languages and Romance languages, for two differentintent recognition tasks.
After revision:  The system is made up of two blocks - the first block gen-erates a transcript of discovered phonetic units for the inputaudio , and the second block which performs intent classifi-cation from the generated phonetic transcripts. We propose a CNN+LSTM based architecture and present results for two languages families - Indic languages and Romance languages, for two differentintent recognition tasks.