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05/30/2023
Towards Selection of Text-to-speech Data to Augment ASR Training
This paper presents a method for selecting appropriate synthetic speech ...
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02/28/2023
A Token-Wise Beam Search Algorithm for RNN-T
Standard Recurrent Neural Network Transducers (RNN-T) decoding algorithm...
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11/10/2021
Scaling ASR Improves Zero and Few Shot Learning
With 4.5 million hours of English speech from 10 different sources acros...
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04/05/2021
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion
How to leverage dynamic contextual information in end-to-end speech reco...
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11/16/2020
Deep Shallow Fusion for RNN-T Personalization
End-to-end models in general, and Recurrent Neural Network Transducer (R...
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11/05/2020
Alignment Restricted Streaming Recurrent Neural Network Transducer
There is a growing interest in the speech community in developing Recurr...
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06/04/2020
Contextual RNN-T For Open Domain ASR
End-to-end (E2E) systems for automatic speech recognition (ASR), such as...
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11/16/2019
N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System
N-HANS is a Python toolkit for in-the-wild audio enhancement, including ...
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06/24/2019
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
We present a novel source separation model to decompose asingle-channel ...
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10/26/2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
We address the problem of speech enhancement generalisation to unseen en...
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03/26/2018
Calibrated Prediction Intervals for Neural Network Regressors
Ongoing developments in neural network models are continually advancing ...
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01/10/2018
Weakly Supervised One-Shot Detection with Attention Siamese Networks
We consider the task of weakly supervised one-shot detection. In this ta...
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05/29/2017
The Principle of Logit Separation
We consider neural network training, in applications in which there are ...
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11/23/2016
Tunable Sensitivity to Large Errors in Neural Network Training
When humans learn a new concept, they might ignore examples that they ca...
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02/18/2016