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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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09/17/2023
Augmenting text for spoken language understanding with Large Language Models
Spoken semantic parsing (SSP) involves generating machine-comprehensible...
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09/12/2023
Recovering from Privacy-Preserving Masking with Large Language Models
Model adaptation is crucial to handle the discrepancy between proxy trai...
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09/05/2023
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models
Automatic Speech Recognition (ASR) models need to be optimized for speci...
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09/01/2023
Contextual Biasing of Named-Entities with Large Language Models
This paper studies contextual biasing with Large Language Models (LLMs),...
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07/22/2023
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) systems that genera...
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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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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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05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
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11/10/2022
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities
End-to-end multilingual ASR has become more appealing because of several...
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10/31/2022
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition
Recently, there has been an increasing interest in two-pass streaming en...
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10/20/2022
Anchored Speech Recognition with Neural Transducers
Neural transducers have gained popularity in production ASR systems, ach...
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09/13/2022
Learning ASR pathways: A sparse multilingual ASR model
Neural network pruning can be effectively applied to compress automatic ...
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07/25/2022
Learning a Dual-Mode Speech Recognition Model via Self-Pruning
There is growing interest in unifying the streaming and full-context aut...
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04/04/2022
Deliberation Model for On-Device Spoken Language Understanding
We propose a novel deliberation-based approach to end-to-end (E2E) spoke...
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03/30/2022
Federated Domain Adaptation for ASR with Full Self-Supervision
Cross-device federated learning (FL) protects user privacy by collaborat...
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03/29/2022
Streaming parallel transducer beam search with fast-slow cascaded encoders
Streaming ASR with strict latency constraints is required in many speech...
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01/28/2022
Neural-FST Class Language Model for End-to-End Speech Recognition
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...
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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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10/15/2021
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
From wearables to powerful smart devices, modern automatic speech recogn...
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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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10/07/2021
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution
This paper improves the streaming transformer transducer for speech reco...
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10/07/2021
Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study
Detection of common events and scenes from audio is useful for extractin...
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07/09/2021
Noisy Training Improves E2E ASR for the Edge
Automatic speech recognition (ASR) has become increasingly ubiquitous on...
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06/16/2021
Collaborative Training of Acoustic Encoders for Speech Recognition
On-device speech recognition requires training models of different sizes...
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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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09/05/2019
