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06/05/2023
Benchmarking Large Language Models on CMExam – A Comprehensive Chinese Medical Exam Dataset
Recent advancements in large language models (LLMs) have transformed the...
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11/04/2022
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
Expressive text-to-speech (TTS) can synthesize a new speaking style by i...
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07/20/2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Generating sound effects that humans want is an important topic. However...
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05/23/2022
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection
The past ten years have witnessed the rapid development of text-based in...
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04/27/2022
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training
Transformer-based models attain excellent results and generalize well wh...
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04/05/2022
RaDur: A Reference-aware and Duration-robust Network for Target Sound Detection
Target sound detection (TSD) aims to detect the target sound from a mixt...
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04/05/2022
A Two-student Learning Framework for Mixed Supervised Target Sound Detection
Target sound detection (TSD) aims to detect the target sound from mixtur...
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04/02/2022
Improving Target Sound Extraction with Timestamp Information
Target sound extraction (TSE) aims to extract the sound part of a target...
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12/19/2021
Detect what you want: Target Sound Detection
Human beings can perceive a target sound that we are interested in from ...
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10/12/2021
Improving the Performance of Automated Audio Captioning via Integrating the Acoustic and Semantic Information
Automated audio captioning (AAC) has developed rapidly in recent years, ...
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10/09/2021
A Mutual learning framework for Few-shot Sound Event Detection
Although prototypical network (ProtoNet) has proved to be an effective m...
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07/04/2021
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model
While Machine Comprehension (MC) has attracted extensive research intere...
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05/21/2021
Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification
It is well known that the mismatch between training (source) and test (t...
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04/08/2021
Layer Reduction: Accelerating Conformer-Based Self-Supervised Model via Layer Consistency
Transformer-based self-supervised models are trained as feature extracto...
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03/31/2021
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification
In this paper, we present SpecAugment++, a novel data augmentation metho...
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02/03/2021
A Global-local Attention Framework for Weakly Labelled Audio Tagging
Weakly labelled audio tagging aims to predict the classes of sound event...
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07/06/2020
Acoustic Scene Classification with Spectrogram Processing Strategies
Recently, convolutional neural networks (CNN) have achieved the state-of...
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12/14/2019