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Arindam Mandal

3 accepted papers

2021

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

NAACL 2021system demonstrations

Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Training each component requires annotations which are hard to obtain for every new domain, limiting scalability of such sys…

Cited by 22SourcePDFScholar
2018

Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection

ICASSP 2018accepted

Accurate on-device wake word detection is crucial to products with far-field voice control such as the Amazon Echo. It is quite challenging to build a wake word system with both low False Reject Rate (FRR) and low False Alarm Rate (FAR) in real scenarios where there are various types of background s…

Cited by 0SourceScholar
2018

Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting

ICASSP 2018accepted

This paper presents a novel deep neural network (DNN) architecture with highway blocks (HWs) using a complex discrete Fourier transform (DFT) feature for keyword spotting. In our previous work, we showed that the feed-forward DNN with a time-delayed bottleneck layer (TDB-DNN) directly trained from t…

Cited by 0SourceScholar