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06/02/2023
Streaming Speech-to-Confusion Network Speech Recognition
In interactive automatic speech recognition (ASR) systems, low-latency r...
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03/30/2023
PROCTER: PROnunciation-aware ConTextual adaptER for personalized speech recognition in neural transducers
End-to-End (E2E) automatic speech recognition (ASR) systems used in voic...
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03/23/2023
Adaptive Endpointing with Deep Contextual Multi-armed Bandits
Current endpointing (EP) solutions learn in a supervised framework, whic...
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11/04/2022
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech
Stuttering is a speech disorder where the natural flow of speech is inte...
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10/11/2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition
Differential privacy (DP) is one data protection avenue to safeguard use...
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07/22/2022
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities
As for other forms of AI, speech recognition has recently been examined ...
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07/16/2022
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation
We present an approach to reduce the performance disparity between geogr...
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07/15/2022
Adversarial Reweighting for Speaker Verification Fairness
We address performance fairness for speaker verification using the adver...
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07/08/2022
Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification
Speaker identification (SID) in the household scenario (e.g., for smart ...
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03/16/2022
CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals
We propose a framework to modularize the training of neural language mod...
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02/23/2022
Improving fairness in speaker verification via Group-adapted Fusion Network
Modern speaker verification models use deep neural networks to encode ut...
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02/22/2022
Contrastive-mixup learning for improved speaker verification
This paper proposes a novel formulation of prototypical loss with mixup ...
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02/17/2022
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
In this work, we aim to enhance the system robustness of end-to-end auto...
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02/07/2022
Self-supervised Speaker Recognition Training Using Human-Machine Dialogues
Speaker recognition, recognizing speaker identities based on voice alone...
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02/02/2022
ASR-Aware End-to-end Neural Diarization
We present a Conformer-based end-to-end neural diarization (EEND) model ...
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02/02/2022
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT
Second-pass rescoring is an important component in automatic speech reco...
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09/06/2021
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets
Speaker identification typically involves three stages. First, a front-e...
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06/18/2021
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition
By implicitly recognizing a user based on his/her speech input, speaker ...
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06/15/2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification
Speaker identification in the household scenario (e.g., for smart speake...
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06/14/2021
End-to-end Neural Diarization: From Transformer to Conformer
We propose a new end-to-end neural diarization (EEND) system that is bas...
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06/02/2021
Attention-based Contextual Language Model Adaptation for Speech Recognition
Language modeling (LM) for automatic speech recognition (ASR) does not u...
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05/14/2021
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
Comprehending the overall intent of an utterance helps a listener recogn...
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04/25/2021
Reranking Machine Translation Hypotheses with Structured and Web-based Language Models
In this paper, we investigate the use of linguistically motivated and co...
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03/09/2021
Wav2vec-C: A Self-supervised Model for Speech Representation Learning
Wav2vec-C introduces a novel representation learning technique combining...
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02/15/2021
Personalization Strategies for End-to-End Speech Recognition Systems
The recognition of personalized content, such as contact names, remains ...
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02/12/2021
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding
Spoken language understanding (SLU) systems extract transcriptions, as w...
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12/14/2020
REDAT: Accent-Invariant Representation for End-to-End ASR by Domain Adversarial Training with Relabeling
Accents mismatching is a critical problem for end-to-end ASR. This paper...
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11/05/2020
BW-EDA-EEND: Streaming End-to-End Neural Speaker Diarization for a Variable Number of Speakers
We present a novel online end-to-end neural diarization system, BW-EDA-E...
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11/03/2020
DOVER-Lap: A Method for Combining Overlap-aware Diarization Outputs
Several advances have been made recently towards handling overlapping sp...
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07/27/2020
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition
In this work, we propose a novel and efficient minimum word error rate (...
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10/24/2019
Improving Diarization Robustness using Diversification, Randomization and the DOVER Algorithm
Speaker diarization based on bottom-up clustering of speech segments by ...
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10/24/2019
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings
Involvement hot spots have been proposed as a useful concept for meeting...
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09/17/2019
DOVER: A Method for Combining Diarization Outputs
Speech recognition and other natural language tasks have long benefited ...
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05/03/2019
Meeting Transcription Using Virtual Microphone Arrays
We describe a system that generates speaker-annotated transcripts of mee...
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08/29/2017
