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09/15/2023
Controllable Residual Speaker Representation for Voice Conversion
Recently, there have been significant advancements in voice conversion, ...
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09/13/2023
Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms
Recent strides in neural speech synthesis technologies, while enjoying w...
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09/07/2023
DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection
Auditory Attention Detection (AAD) aims to detect target speaker from br...
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08/29/2023
Audio Deepfake Detection: A Survey
Audio deepfake detection is an emerging active topic. A growing number o...
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08/19/2023
Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection
The rhythm of synthetic speech is usually too smooth, which causes that ...
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08/07/2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Current fake audio detection algorithms have achieved promising performa...
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07/17/2023
TST: Time-Sparse Transducer for Automatic Speech Recognition
End-to-end model, especially Recurrent Neural Network Transducer (RNN-T)...
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06/09/2023
Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection
Self-supervised speech models are a rapidly developing research topic in...
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06/08/2023
Adaptive Fake Audio Detection with Low-Rank Model Squeezing
The rapid advancement of spoofing algorithms necessitates the developmen...
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05/23/2023
ADD 2023: the Second Audio Deepfake Detection Challenge
Audio deepfake detection is an emerging topic in the artificial intellig...
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05/23/2023
TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection
Current fake audio detection relies on hand-crafted features, which lose...
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05/23/2023
Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features
Existing fake audio detection systems perform well in in-domain testing,...
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04/18/2023
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
Over the past few decades, multimodal emotion recognition has made remar...
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03/02/2023
Learning From Yourself: A Self-Distillation Method for Fake Speech Detection
In this paper, we propose a novel self-distillation method for fake spee...
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01/10/2023
UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion
Text-to-speech (TTS) and voice conversion (VC) are two different tasks b...
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12/20/2022
Emotion Selectable End-to-End Text-based Speech Editing
Text-based speech editing allows users to edit speech by intuitively cut...
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11/11/2022
SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection
Previous databases have been designed to further the development of fake...
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11/10/2022
EmoFake: An Initial Dataset for Emotion Fake Audio Detection
There are already some datasets used for fake audio detection, such as t...
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10/20/2022
Text Enhancement for Paragraph Processing in End-to-End Code-switching TTS
Current end-to-end code-switching Text-to-Speech (TTS) can already gener...
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08/21/2022
System Fingerprints Detection for DeepFake Audio: An Initial Dataset and Investigation
Many effective attempts have been made for deepfake audio detection. How...
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08/20/2022
An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio
Many effective attempts have been made for fake audio detection. However...
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08/20/2022
Fully Automated End-to-End Fake Audio Detection
The existing fake audio detection systems often rely on expert experienc...
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08/02/2022
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features
Recently, pioneer research works have proposed a large number of acousti...
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07/12/2022
FAD: A Chinese Dataset for Fake Audio Detection
Fake audio detection is a growing concern and some relevant datasets hav...
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03/05/2022
NeuralDPS: Neural Deterministic Plus Stochastic Model with Multiband Excitation for Noise-Controllable Waveform Generation
The traditional vocoders have the advantages of high synthesis efficienc...
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02/21/2022
CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing
The text-based speech editor allows the editing of speech through intuit...
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02/17/2022
ADD 2022: the First Audio Deep Synthesis Detection Challenge
Audio deepfake detection is an emerging topic, which was included in the...
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02/16/2022
Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis
End-to-end singing voice synthesis (SVS) is attractive due to the avoida...
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01/28/2022
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Code-switching is about dealing with alternative languages in the commun...
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04/15/2021
Continual Learning for Fake Audio Detection
Fake audio attack becomes a major threat to the speaker verification sys...
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04/08/2021
Half-Truth: A Partially Fake Audio Detection Dataset
Diverse promising datasets have been designed to hold back the developme...
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04/07/2021
FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization
Transducer-based models, such as RNN-Transducer and transformer-transduc...
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04/04/2021
TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition
The autoregressive (AR) models, such as attention-based encoder-decoder ...
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02/15/2021
Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT
Attention-based encoder-decoder (AED) models have achieved promising per...
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11/11/2020
Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning
Recurrent neural networks (RNNs) have shown significant improvements in ...
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11/09/2020
Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition
The joint training framework for speech enhancement and recognition meth...
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10/28/2020
Decoupling Pronunciation and Language for End-to-end Code-switching Automatic Speech Recognition
Despite the recent significant advances witnessed in end-to-end (E2E) AS...
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05/16/2020
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition
Non-autoregressive transformer models have achieved extremely fast infer...
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05/11/2020
Listen Attentively, and Spell Once: Whole Sentence Generation via a Non-Autoregressive Architecture for Low-Latency Speech Recognition
Although attention based end-to-end models have achieved promising perfo...
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04/06/2020
Simultaneous Denoising and Dereverberation Using Deep Embedding Features
Monaural speech dereverberation is a very challenging task because no sp...
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04/01/2020
Adversarial Transfer Learning for Punctuation Restoration
Previous studies demonstrate that word embeddings and part-of-speech (PO...
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03/17/2020
Deep Attention Fusion Feature for Speech Separation with End-to-End Post-filter Method
In this paper, we propose an end-to-end post-filter method with deep att...
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02/19/2020
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition
Recently, language identity information has been utilized to improve the...
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02/05/2020
Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features
Multi-channel deep clustering (MDC) has acquired a good performance for ...
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12/06/2019
Synchronous Transformers for End-to-End Speech Recognition
For most of the attention-based sequence-to-sequence models, the decoder...
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12/04/2019
Integrating Whole Context to Sequence-to-sequence Speech Recognition
Because an attention based sequence-to-sequence speech (Seq2Seq) recogni...
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09/28/2019
Self-Attention Transducers for End-to-End Speech Recognition
Recurrent neural network transducers (RNN-T) have been successfully appl...
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07/23/2019
Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
Deep clustering (DC) and utterance-level permutation invariant training ...
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07/13/2019
Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition
Integrating an external language model into a sequence-to-sequence speec...
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02/20/2018
