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Exploring attention mechanism for acoustic-based classification of
  speech utterances into system-directed and non-system-directed

Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed

1 February 2019
A. Norouzian
Bogdan Mazoure
Dermot Connolly
D. Willett
ArXivPDFHTML

Papers citing "Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed"

5 / 5 papers shown
Title
Device-directed Utterance Detection
Device-directed Utterance Detection
Sri Harish Reddy Mallidi
Roland Maas
K. Goehner
Ariya Rastrow
Spyros Matsoukas
Björn Hoffmeister
33
48
0
07 Aug 2018
Convolutional Neural Networks and Language Embeddings for End-to-End
  Dialect Recognition
Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition
Suwon Shon
Ahmed M. Ali
James R. Glass
39
62
0
12 Mar 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
682
131,414
0
12 Jun 2017
Attentive Convolutional Neural Network based Speech Emotion Recognition:
  A Study on the Impact of Input Features, Signal Length, and Acted Speech
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech
Michael Neumann
Ngoc Thang Vu
75
217
0
02 Jun 2017
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
546
27,295
0
01 Sep 2014
1