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05/24/2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Joint speech-language training is challenging due to the large demand fo...
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05/23/2023
i-Code Studio: A Configurable and Composable Framework for Integrative AI
Artificial General Intelligence (AGI) requires comprehensive understandi...
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05/21/2023
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
The convergence of text, visual, and audio data is a key step towards hu...
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03/20/2023
Code-Switching Text Generation and Injection in Mandarin-English ASR
Code-switching speech refers to a means of expression by mixing two or m...
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10/28/2022
A comprehensive study on self-supervised distillation for speaker representation learning
In real application scenarios, it is often challenging to obtain a large...
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09/22/2022
The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022
In this report, we describe our submitted system for track 2 of the VoxC...
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05/17/2022
Deploying self-supervised learning in the wild for hybrid automatic speech recognition
Self-supervised learning (SSL) methods have proven to be very successful...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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03/31/2022
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data
This paper studies a novel pre-training technique with unpaired speech d...
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12/16/2021
Self-Supervised Learning for speech recognition with Intermediate layer supervision
Recently, pioneer work finds that speech pre-trained models can solve fu...
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10/26/2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Self-supervised learning (SSL) achieves great success in speech recognit...
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10/23/2021
Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding
The advances in attention-based encoder-decoder (AED) networks have brou...
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10/15/2021
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes
Multilingual end-to-end(E2E) models have shown a great potential in the ...
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10/12/2021
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification
The speech representations learned from large-scale unlabeled data have ...
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10/12/2021
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
Self-supervised learning (SSL) is a long-standing goal for speech proces...
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02/11/2021
Speech-language Pre-training for End-to-end Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) can infer semantics...
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01/19/2021
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
In this paper, we propose a unified pre-training approach called UniSpee...
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11/27/2019
To Trust, or Not to Trust? A Study of Human Bias in Automated Video Interview Assessments
Supervised systems require human labels for training. But, are humans th...
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11/01/2015
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding
Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN...
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10/21/2015