Search Results for author: Sri Harish Mallidi

Found 6 papers, 0 papers with code

Wav2vec-C: A Self-supervised Model for Speech Representation Learning

no code implementations9 Mar 2021 Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas

However, the quantization process is regularized by an additional consistency network that learns to reconstruct the input features to the wav2vec 2. 0 network from the quantized representations in a way similar to a VQ-VAE model.

Quantization Representation Learning +1

Multi-Stream End-to-End Speech Recognition

no code implementations17 Jun 2019 Ruizhi Li, Xiaofei Wang, Sri Harish Mallidi, Shinji Watanabe, Takaaki Hori, Hynek Hermansky

Two representative framework have been proposed and discussed, which are Multi-Encoder Multi-Resolution (MEM-Res) framework and Multi-Encoder Multi-Array (MEM-Array) framework, respectively.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling

no code implementations4 Oct 2018 Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Mallidi, Nelson Yalta, Martin Karafiat, Shinji Watanabe, Takaaki Hori

In this work, we attempt to use data from 10 BABEL languages to build a multi-lingual seq2seq model as a prior model, and then port them towards 4 other BABEL languages using transfer learning approach.

Language Modelling Sequence-To-Sequence Speech Recognition +2

Device-directed Utterance Detection

no code implementations7 Aug 2018 Sri Harish Mallidi, Roland Maas, Kyle Goehner, Ariya Rastrow, Spyros Matsoukas, Björn Hoffmeister

In this work, we propose a classifier for distinguishing device-directed queries from background speech in the context of interactions with voice assistants.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition

no code implementations14 Feb 2017 Angel Mario Castro Martinez, Sri Harish Mallidi, Bernd T. Meyer

Previous studies support the idea of merging auditory-based Gabor features with deep learning architectures to achieve robust automatic speech recognition, however, the cause behind the gain of such combination is still unknown.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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