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09/16/2023
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
Cross-modal retrieval (CMR) has been extensively applied in various doma...
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09/16/2023
AOSR-Net: All-in-One Sandstorm Removal Network
Most existing sandstorm image enhancement methods are based on tradition...
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09/16/2023
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
This paper integrates graph-to-sequence into an end-to-end text-to-speec...
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09/14/2023
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks
Generating realistic talking faces is a complex and widely discussed tas...
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08/28/2023
Machine Unlearning Methodology base on Stochastic Teacher Network
The rise of the phenomenon of the "right to be forgotten" has prompted r...
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08/28/2023
Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Voice conversion is a method that allows for the transformation of speak...
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08/28/2023
Symbolic Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Music Emotion Recognition involves the automatic identification of emoti...
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08/23/2023
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
In the realm of Large Language Models, the balance between instruction d...
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08/21/2023
PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion
Voice conversion as the style transfer task applied to speech, refers to...
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08/07/2023
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
Chinese Automatic Speech Recognition (ASR) error correction presents sig...
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08/07/2023
Prompt Guided Copy Mechanism for Conversational Question Answering
Conversational Question Answering (CQA) is a challenging task that aims ...
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06/27/2023
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
Federated Learning (FL) has been widely concerned for it enables decentr...
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06/01/2023
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
There has been significant progress in emotional Text-To-Speech (TTS) sy...
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04/23/2023
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model
In recent Text-to-Speech (TTS) systems, a neural vocoder often generates...
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04/23/2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
Text summarization is essential for information aggregation and demands ...
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03/17/2023
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing
Out-of-distribution (OOD) detection aims at enhancing standard deep neur...
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03/15/2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Deep neural retrieval models have amply demonstrated their power but est...
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03/15/2023
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval
Deep neural networks have achieved remarkable performance in retrieval-b...
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03/14/2023
Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy
Because of predicting all the target tokens in parallel, the non-autoreg...
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03/14/2023
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Recent expressive text to speech (TTS) models focus on synthesizing emot...
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03/14/2023
Improving Music Genre Classification from multi-modal properties of music and genre correlations Perspective
Music genre classification has been widely studied in past few years for...
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03/14/2023
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification
Data-Free Knowledge Distillation (DFKD) has recently attracted growing a...
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10/25/2022
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition
The recent emergence of joint CTC-Attention model shows significant impr...
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10/25/2022
Improving Imbalanced Text Classification with Dynamic Curriculum Learning
Recent advances in pre-trained language models have improved the perform...
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10/25/2022
Semi-Supervised Learning Based on Reference Model for Low-resource TTS
Most previous neural text-to-speech (TTS) methods are mainly based on su...
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10/25/2022
MetaSpeech: Speech Effects Switch Along with Environment for Metaverse
Metaverse expands the physical world to a new dimension, and the physica...
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10/25/2022
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach
Recovering the masked speech frames is widely applied in speech represen...
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10/25/2022
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data
In this paper, we proposed Adapitch, a multi-speaker TTS method that mak...
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10/18/2022
SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning
Estimating age from a single speech is a classic and challenging topic. ...
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10/15/2022
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Unsupervised representation learning for speech audios attained impressi...
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10/13/2022
Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar
Since the beginning of the COVID-19 pandemic, remote conferencing and sc...
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10/07/2022
Pose Guided Human Image Synthesis with Partially Decoupled GAN
Pose Guided Human Image Synthesis (PGHIS) is a challenging task of trans...
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09/30/2022
Machine Unlearning Method Based On Projection Residual
Machine learning models (mainly neural networks) are used more and more ...
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09/30/2022
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
The extraction of sequence patterns from a collection of functionally li...
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09/30/2022
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
The Transformer architecture model, based on self-attention and multi-he...
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09/30/2022
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Buddhism is an influential religion with a long-standing history and pro...
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09/21/2022
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator
Nonparallel multi-domain voice conversion methods such as the StarGAN-VC...
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08/18/2022
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion
One-shot voice conversion (VC) with only a single target speaker's speec...
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08/08/2022
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training
Non-parallel many-to-many voice conversion remains an interesting but ch...
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06/28/2022
Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation
Time-domain Transformer neural networks have proven their superiority in...
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06/27/2022
SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning
Speech emotion recognition (SER) has many challenges, but one of the mai...
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06/27/2022
Uncertainty Calibration for Deep Audio Classifiers
Although deep Neural Networks (DNNs) have achieved tremendous success in...
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06/07/2022
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Currently, the federated graph neural network (GNN) has attracted a lot ...
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05/29/2022
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Facial micro-expressions recognition has attracted much attention recent...
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05/28/2022
Speech Augmentation Based Unsupervised Learning for Keyword Spotting
In this paper, we investigated a speech augmentation based unsupervised ...
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05/28/2022
Adaptive Activation Network For Low Resource Multilingual Speech Recognition
Low resource automatic speech recognition (ASR) is a useful but thorny t...
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05/26/2022
A Fair Federated Learning Framework With Reinforcement Learning
Federated learning (FL) is a paradigm where many clients collaboratively...
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05/26/2022
Leveraging Causal Inference for Explainable Automatic Program Repair
Deep learning models have made significant progress in automatic program...
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05/26/2022
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information
Non-negative matrix factorization (NMF) based topic modeling is widely u...
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05/26/2022
