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09/04/2023
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation
Mapping two modalities, speech and text, into a shared representation sp...
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05/20/2023
Model Debiasing via Gradient-based Explanation on Representation
Machine learning systems produce biased results towards certain demograp...
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04/21/2023
Learn What NOT to Learn: Towards Generative Safety in Chatbots
Conversational models that are generative and open-domain are particular...
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02/08/2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
This paper proposes a framework for quantitatively evaluating interactiv...
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12/19/2022
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unite ex...
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12/03/2022
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis
Text-to-speech (TTS) and singing voice synthesis (SVS) aim at generating...
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11/15/2022
Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness
In this thesis, we investigated the relevance, faithfulness, and succinc...
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10/14/2022
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
Large-scale vision-language pre-trained (VLP) models are prone to halluc...
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10/12/2022
Context Generation Improves Open Domain Question Answering
Closed-book question answering (QA) requires a model to directly answer ...
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10/11/2022
The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022
This paper is the system description of the DKU-Tencent System for the V...
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07/13/2022
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings
Automatic speaker verification has achieved remarkable progress in recen...
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07/05/2022
Glow-WaveGAN 2: High-quality Zero-shot Text-to-speech Synthesis and Any-to-any Voice Conversion
The zero-shot scenario for speech generation aims at synthesizing a nove...
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07/02/2022
Learning Noise-independent Speech Representation for High-quality Voice Conversion for Noisy Target Speakers
Building a voice conversion system for noisy target speakers, such as us...
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06/15/2022
End-to-End Voice Conversion with Information Perturbation
The ideal goal of voice conversion is to convert the source speaker's sp...
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06/01/2022
AdaVITS: Tiny VITS for Low Computing Resource Speaker Adaptation
Speaker adaptation in text-to-speech synthesis (TTS) is to finetune a pr...
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05/12/2022
AiSocrates: Towards Answering Ethical Quandary Questions
Considerable advancements have been made in various NLP tasks based on t...
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04/07/2022
3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition
Recently, Conformer based CTC/AED model has become a mainstream architec...
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02/18/2022
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion
Though significant progress has been made for speaker-dependent Video-to...
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02/14/2022
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation
Multi-hop question generation (MQG) aims to generate complex questions w...
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02/04/2022
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge
This paper describes our speaker diarization system submitted to the Mul...
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01/28/2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Denoising diffusion probabilistic models (DDPMs) are expressive generati...
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12/05/2021
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI
Recently, End-to-End (E2E) frameworks have achieved remarkable results o...
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11/23/2021
SpeechMoE2: Mixture-of-Experts Model with Improved Routing
Mixture-of-experts based acoustic models with dynamic routing mechanisms...
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11/14/2021
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning
The task of few-shot style transfer for voice cloning in text-to-speech ...
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10/13/2021
Simple Attention Module based Speaker Verification with Iterative noisy label detection
Recently, the attention mechanism such as squeeze-and-excitation module ...
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09/08/2021
AppQ: Warm-starting App Recommendation Based on View Graphs
Current app ranking and recommendation systems are mainly based on user-...
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09/08/2021
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis
Cross-speaker style transfer (CSST) in text-to-speech (TTS) synthesis ai...
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06/21/2021
Glow-WaveGAN: Learning Speech Representations from GAN-based Variational Auto-Encoder For High Fidelity Flow-based Speech Synthesis
Current two-stage TTS framework typically integrates an acoustic model w...
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06/21/2021
Controllable Context-aware Conversational Speech Synthesis
In spoken conversations, spontaneous behaviors like filled pause and pro...
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06/13/2021
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
This paper introduces GigaSpeech, an evolving, multi-domain English spee...
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06/11/2021
Spoken Style Learning with Multi-modal Hierarchical Context Encoding for Conversational Text-to-Speech Synthesis
For conversational text-to-speech (TTS) systems, it is vital that the sy...
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05/28/2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
Singing voice conversion (SVC) is one promising technique which can enri...
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05/27/2021
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance
Query focused summarization (QFS) models aim to generate summaries from ...
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05/13/2021
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters
To diversify and enrich generated dialogue responses, knowledge-grounded...
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05/08/2021
Latency-Controlled Neural Architecture Search for Streaming Speech Recognition
Recently, neural architecture search (NAS) has attracted much attention ...
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05/07/2021
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Recently, Mixture of Experts (MoE) based Transformer has shown promising...
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02/12/2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention
This paper proposes VARA-TTS, a non-autoregressive (non-AR) text-to-spee...
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10/28/2020
Non-Autoregressive Transformer ASR with CTC-Enhanced Decoder Input
Non-autoregressive (NAR) transformer models have achieved significantly ...
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10/28/2020
Replay and Synthetic Speech Detection with Res2net Architecture
Existing approaches for replay and synthetic speech detection still lack...
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10/21/2020
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
The home voice assistants such as Amazon Alexa have become increasingly ...
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10/19/2020
Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
Lay summarization aims to generate lay summaries of scientific papers au...
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10/19/2020
Multi-hop Question Generation with Graph Convolutional Network
Multi-hop Question Generation (QG) aims to generate answer-related quest...
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08/25/2020
Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition
In this paper, we explore the neural architecture search (NAS) for autom...
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06/20/2020
Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams
Generating 3D speech-driven talking head has received more and more atte...
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06/11/2020
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification
Recently adversarial attacks on automatic speaker verification (ASV) sys...
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05/04/2020
CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research
To address the need for refined information in COVID-19 pandemic, we pro...
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03/09/2020
Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning
Hand-crafted spatial features (e.g., inter-channel phase difference, IPD...
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10/28/2019
DFSMN-SAN with Persistent Memory Model for Automatic Speech Recognition
Self-attention networks (SAN) have been introduced into automatic speech...
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10/28/2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models
Deep-learning based speech separation models confront poor generalizatio...
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10/23/2019
