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Found 7 papers, 0 papers with code
Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer
Streaming automatic speech recognition (ASR) models are restricted from accessing future context, which results in worse performance compared to the non-streaming models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
SubSpectral Normalization for Neural Audio Data Processing
In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and performs a different normalization for each group.
Ranked #1 on
Keyword Spotting
on TAU Urban Acoustic Scenes 2019
Acoustic Scene Classification Based on a Large-margin Factorized CNN
With this loss function, the samples from the same audio scene are clustered independently of the environment, and thus we can get the classifier with better generalization ability in an unseen environment.
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
This paper considers a semi-supervised learning framework for weakly labeled polyphonic sound event detection problems for the DCASE 2019 challenge's task4 by combining both the tri-training and adversarial learning.
Query-by-example on-device keyword spotting
A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Orthogonality Constrained Multi-Head Attention For Keyword Spotting
Augmenting regularization terms which penalize positional and contextual non-orthogonality between the attention heads encourages to output different representations from separate subsequences, which in turn enables leveraging structured information without explicit sequence models such as hidden Markov models.
An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network
In training our speaker verification framework, we consider both the triplet loss minimization and adversarial gradient of the ASR network to obtain more discriminative and text-independent speaker embedding vectors.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
