Leaderboards/Music Technology and Sound Studies

Music Technology and Sound Studies

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jonathan Tseng
Stanford University
2
Dongchao Yang
Peking University
3
Wen-Yi Hsiao
Academia Sinica
4
Haohe Liu
University of Surrey
5
Caglar Gurbuz
Technical University of Munich
6
Ludan Ruan
Baidu (China)
7
Minhyang Suh
Google (United States)
8
Buyu Li
Chinese University of Hong Kong
9
Md Mohaimenuzzaman
Universidad de Granada
10
Shih-Lun Wu
Adobe Systems (United States)

Rising Stars Papers

1
AudioLDM 2: Learning Holistic Audio Generation With Self-Supervised Pretraining
IEEE/ACM Transactions on Audio Speech and Language Processing|2024
148 cit.
2
Music ControlNet: Multiple Time-Varying Controls for Music Generation
IEEE/ACM Transactions on Audio Speech and Language Processing|2024
56 cit.
3
InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt
IEEE/ACM Transactions on Audio Speech and Language Processing|2024
50 cit.
4
Audiosr: Versatile Audio Super-Resolution at Scale
Unknown Journal|2024
34 cit.
5
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound
IEEE Journal of Selected Topics in Signal Processing|2024
30 cit.
6
SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models
Unknown Journal|2024
12 cit.
7
Learning Temporal Resolution in Spectrogram for Audio Classification
Proceedings of the AAAI Conference on Artificial Intelligence|2024
9 cit.
8
Deep Active Audio Feature Learning in Resource-Constrained Environments
IEEE/ACM Transactions on Audio Speech and Language Processing|2024
7 cit.
9
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
Unknown Journal|2024
2 cit.
10
SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech With Flow-Based Scalar Latent Transformer Diffusion Models
IEEE Transactions on Audio Speech and Language Processing|2025
0 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Kyunghyun Cho
Université de Montréal
2
Carrie J. Cai
Google (United States)
3
Manuel Moussallam
Télécom Paris
4
Mathieu Barthet
Queen Mary University of London
5
György Fazekas
Queen Mary University of London
6
Prayag Tiwari
Halmstad University
7
Chenliang Xu
University of Rochester
8
Shou-qi Yuan
Jiangsu University of Science and Technology
9
Mark Mynett
University of Huddersfield
10
Taras Kucherenko
Electronic Arts (United States)

Emerging Leaders Papers

1
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
CHI Conference on Human Factors in Computing Systems|2022
441 cit.
2
PromptMaker: Prompt-based Prototyping with Large Language Models
CHI Conference on Human Factors in Computing Systems Extended Abstracts|2022
145 cit.
3
Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT
Digital Communications and Networks|2022
133 cit.
4
Occluded person re-identification with deep learning: A survey and perspectives
Expert Systems with Applications|2023
124 cit.
5
QMFND: A quantum multimodal fusion-based fake news detection model for social media
Information Fusion|2023
122 cit.
6
Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning
IEEE Transactions on Consumer Electronics|2023
98 cit.
7
Few-Shot Class-Incremental Learning for Medical Time Series Classification
IEEE Journal of Biomedical and Health Informatics|2023
88 cit.
8
Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors
IEEE Access|2022
87 cit.
9
A blockchain-enabled privacy-preserving authentication management protocol for Internet of Medical Things
Expert Systems with Applications|2023
85 cit.
10
Short-term OD flow prediction for urban rail transit control: A multi-graph spatiotemporal fusion approach
Information Fusion|2025
84 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Xavier Serra
Universitat Pompeu Fabra
2
Gerhard Widmer
Johannes Kepler University of Linz
3
M. Sandler
University of London
4
Mark D. Plumbley
University of Surrey
5
Björn W. Schuller
Imperial College London
6
Oriol Nieto
Adobe Systems (United States)
7
Tuomas Virtanen
Åbo Akademi University
8
Yi‐Hsuan Yang
National Taiwan University
9
Kenneth A. Ross
Columbia University
10
Anssi Klapuri
Tampere University

Current Senior Leaders Papers

1
Abstract Harmonic Analysis.
American Mathematical Monthly|1966
3.8k cit.
2
librosa: Audio and Music Signal Analysis in Python
Proceedings of the Python in Science Conferences|2015
2.9k cit.
3
Opensmile
Unknown Journal|2010
2.6k cit.
4
Learning in the Presence of Concept Drift and Hidden Contexts
Machine Learning|1996
1.4k cit.
5
Recent developments in openSMILE, the munich open-source multimedia feature extractor
Unknown Journal|2013
1.2k cit.
6
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing|2020
1.1k cit.
7
Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria
IEEE Transactions on Audio Speech and Language Processing|2007
1k cit.
8
Learning in the presence of concept drift and hidden contexts
Machine Learning|1996
993 cit.
9
The INTERSPEECH 2009 emotion challenge
Unknown Journal|2009
924 cit.
10
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
Speech Communication|2011
750 cit.

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