Papers
Cryfish: On deep audio analysis with Large Language Models
Anton Mitrofanov, Sergey Novoselov, Tatiana Prisyach et al.
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs
Pooneh Mousavi, Shubham Gupta, Cem Subakan et al.
Speechless: Speech Instruction Training Without Speech for Low Resource Languages
Alan Dao, Dinh Bach Vu, Huy Hoang Ha et al.
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
Chi-Yuan Hsiao, Ke-Han Lu, Kai-Wei Chang et al.
Legally validated evaluation framework for voice anonymization
Nathalie Vauquier, Brij Mohan Lal Srivastava, Seyed Ahmad Hosseini et al.
Private kNN-VC: Interpretable Anonymization of Converted Speech
Carlos Franzreb, Arnab Das, Tim Polzehl et al.
EASY: Emotion-aware Speaker Anonymization via Factorized Distillation
Jixun Yao, Hexin Liu, Eng Siong Chng et al.
Speech Unlearning
Jiali Cheng, Hadi Amiri
Automatic Speech Recognition Biases in Newcastle English: an Error Analysis
Dana Serditova, Kevin Tang, Jochen Steffens
Context is all you need? Low-resource conversational ASR profits from context, coming from the same or from the other speaker
Julian Linke, Jana Winkler, Barbara Schuppler
R2S: Real-to-Synthetic Representation Learning for Training Speech Recognition Models on Synthetic Data
Minh Tran, Debjyoti Paul, Yutong Pang et al.
Scaling Laws for Synthetic Speech for Model Training
Christoph Minixhofer, Ondřej Klejch, Peter Bell
Unified Semi-Supervised Pipeline for Automatic Speech Recognition
Nune Tadevosyan, Nikolay Karpov, Andrei Andrusenko et al.
Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation
Zhennan Lin, Kaixun Huang, Wei Ren et al.
Effect of Loudspeaker Emitted Speech on ASR performance
Vikram C M, Sanjoy Pal, Nidhi Mantri et al.
SMARTMOS: Modeling Subjective Audio Quality Evaluation for Real-Time Applications
Sivakumar Balasubramanian, Jose Antonio Jimenez Amador, Kaustubh Kalgaonkar et al.
Crowdsourcing MUSHRA Tests in the Age of Generative Speech Technologies: A Comparative Analysis of Subjective and Objective Testing Methods
Laura Lechler, Chamran Moradi, Ivana Balic
RELATE: Subjective evaluation dataset for automatic evaluation of relevance between text and audio
Yusuke Kanamori, Yuki Okamoto, Taisei Takano et al.
DiffStereo: End-to-End Mono-to-Stereo Audio Generation with Diffusion Transformer
Suqi Zhang, Zheqi Dai, Yongyi Zang et al.
Bridging Audio and Vision: Zero-Shot Audiovisual Segmentation by Connecting Pretrained Models
Seung-jae Lee, Paul Hongsuck Seo
Optimizing CLAP Reward with LLM Feedback for Semantically Aligned and Diverse Automated Audio Captioning
Seyun Ahn, Pil Moo Byun, Won-Gook Choi et al.
Temp4Cap: Temporally-aligned Automated Audio Captioning
Ho-Young Choi, Jae-Heung Cho, Pil Moo Byun et al.
CLAP-ART: Automated Audio Captioning with Semantic-rich Audio Representation Tokenizer
Daiki Takeuchi, Binh Thien Nguyen, Masahiro Yasuda et al.