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08/10/2022
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations
Considering the abundance of unlabeled speech data and the high labeling...
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04/08/2022
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser
Adversarial attacks are a threat to automatic speech recognition (ASR) s...
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01/26/2022
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition
The high cost of data acquisition makes Automatic Speech Recognition (AS...
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10/25/2021
Lhotse: a speech data representation library for the modern deep learning ecosystem
Speech data is notoriously difficult to work with due to a variety of co...
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10/05/2021
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding
Typically, unsupervised segmentation of speech into the phone and word-l...
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09/13/2021
Beyond Isolated Utterances: Conversational Emotion Recognition
Speech emotion recognition is the task of recognizing the speaker's emot...
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09/13/2021
Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios
Capitalization and punctuation are important cues for comprehending writ...
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07/05/2021
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
Dialog acts can be interpreted as the atomic units of a conversation, mo...
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06/03/2021
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation
Automatic detection of phoneme or word-like units is one of the core obj...
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04/22/2021
Earnings-21: A Practical Benchmark for ASR in the Wild
Commonly used speech corpora inadequately challenge academic and commerc...
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04/02/2021
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation
This paper tackles automatically discovering phone-like acoustic units (...
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03/31/2021
Adversarial Attacks and Defenses for Speech Recognition Systems
The ubiquitous presence of machine learning systems in our lives necessi...
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01/22/2021
Adversarial Attacks and Defenses for Speaker Identification Systems
Research in automatic speaker recognition (SR) has been undertaken for s...
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11/02/2020
Focus on the present: a regularization method for the ASR source-target attention layer
This paper introduces a novel method to diagnose the source-target atten...
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10/27/2020
CopyPaste: An Augmentation Method for Speech Emotion Recognition
Data augmentation is a widely used strategy for training robust machine ...
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10/22/2020
How Phonotactics Affect Multilingual and Zero-shot ASR Performance
The idea of combining multiple languages' recordings to train a single a...
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10/21/2020
Learning Speaker Embedding from Text-to-Speech
Zero-shot multi-speaker Text-to-Speech (TTS) generates target speaker vo...
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10/07/2020
WER we are and WER we think we are
Natural language processing of conversational speech requires the availa...
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07/26/2020
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery
Unsupervised spoken term discovery consists of two tasks: finding the ac...
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06/14/2020
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge
This paper summarizes the JHU team's efforts in tracks 1 and 2 of the CH...
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05/16/2020
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages
Only a handful of the world's languages are abundant with the resources ...
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04/13/2020
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
Automatic Speech Recognition (ASR) systems introduce word errors, which ...
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10/23/2019
Hierarchical Transformers for Long Document Classification
BERT, which stands for Bidirectional Encoder Representations from Transf...
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09/02/2019
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations
Avaya Conversational Intelligence(ACI) is an end-to-end, cloud-based sol...
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08/21/2019
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
In this paper, we present a method for correcting automatic speech recog...
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07/02/2018
Punctuation Prediction Model for Conversational Speech
An ASR system usually does not predict any punctuation or capitalization...
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08/20/2017
