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09/19/2023
End-to-End Speech Recognition Contextualization with Large Language Models
In recent years, Large Language Models (LLMs) have garnered significant ...
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07/21/2023
Prompting Large Language Models with Speech Recognition Abilities
Large language models have proven themselves highly flexible, able to so...
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03/30/2023
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
Recently reported state-of-the-art results in visual speech recognition ...
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11/03/2022
Streaming Audio-Visual Speech Recognition with Alignment Regularization
Recognizing a word shortly after it is spoken is an important requiremen...
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04/19/2022
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition
The two most popular loss functions for streaming end-to-end automatic s...
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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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10/11/2021
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric
Measuring automatic speech recognition (ASR) system quality is critical ...
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06/21/2021
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning
Transfer learning is critical for efficient information transfer across ...
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04/06/2021
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios
Often, the storage and computational constraints of embeddeddevices dema...
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04/06/2021
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
As speech-enabled devices such as smartphones and smart speakers become ...
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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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04/05/2021
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency
We propose a dynamic encoder transducer (DET) for on-device speech recog...
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04/05/2021
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
Word Error Rate (WER) has been the predominant metric used to evaluate t...
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03/09/2021
Contrastive Semi-supervised Learning for ASR
Pseudo-labeling is the most adopted method for pre-training automatic sp...
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02/23/2021
Memory-efficient Speech Recognition on Smart Devices
Recurrent transducer models have emerged as a promising solution for spe...
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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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10/26/2020
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer
Recurrent Neural Network Transducer (RNN-T), like most end-to-end speech...
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05/18/2020
Weak-Attention Suppression For Transformer Based Speech Recognition
Transformers, originally proposed for natural language processing (NLP) ...
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05/16/2020
Large scale weakly and semi-supervised learning for low-resource video ASR
Many semi- and weakly-supervised approaches have been investigated for o...
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12/17/2019
Libri-Light: A Benchmark for ASR with Limited or No Supervision
We introduce a new collection of spoken English audio suitable for train...
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11/05/2019
Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks
In this paper, we introduce spatial attention for refining the informati...
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11/05/2019
RNN-T For Latency Controlled ASR With Improved Beam Search
Neural transducer-based systems such as RNN Transducers (RNN-T) for auto...
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10/28/2019
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention
We explore options to use Transformer networks in neural transducer for ...
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10/22/2019
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR
Grapheme-based acoustic modeling has recently been shown to outperform p...
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10/22/2019
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
We propose and evaluate transformer-based acoustic models (AMs) for hybr...
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12/05/2018
End-to-end contextual speech recognition using class language models and a token passing decoder
End-to-end modeling (E2E) of automatic speech recognition (ASR) blends a...
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02/23/2018
