Papers
Word-Level Error Analysis in Decoding Systems: From Speech Recognition to Brain-Computer Interfaces
Jingya Huang, Aashish N. Patel, Sowmya Manojna Narasimha et al.
Towards Sentence Level Imagined Speech Generation from EEG signals
Sparsh Rastogi, Harsh Dadwal, Khushboo Modi et al.
Recreating Neural Activity During Speech Production with Language and Speech Model Embeddings
Owais Mujtaba Khanday, Pablo Rodríguez San Esteban, Zubair Ahmad Lone et al.
Decoding Listener's Identity: Person Identification from EEG Signals Using a Lightweight Spiking Transformer
Zheyuan Lin, Siqi Cai, Haizhou Li
GTAnet: Geometry-Guided Temporal Attention for EEG-Based Sound Source Tracking in Cocktail Party Scenarios
Saurav Pahuja, Gabriel Ivucic, Siqi Cai et al.
BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing
Masaya Kawamura, Takuya Hasumi, Yuma Shirahata et al.
Accelerating Autoregressive Speech Synthesis Inference With Speech Speculative Decoding
Zijian Lin, Yang Zhang, Yougen Yuan et al.
Score-Based Training for Energy-Based TTS Models
Wanli Sun, Anton Ragni
Eigenvoice Synthesis based on Model Editing for Speaker Generation
Masato Murata, Koichi Miyazaki, Tomoki Koriyama et al.
APTTS: Adversarial Post-training in Latent Flow Matching for Fast and High-fidelity Text-to-Speech
Hyungchan Yoon, Chanwoo Lee, Hoodong Lee et al.
Efficient Streaming TTS Acoustic Model with Depthwise RVQ Decoding Strategies in a Mamba Framework
Joun Yeop Lee, Sangjun Park, Byoung Jin Choi et al.
Improving Practical Aspects of End-to-End Multi-Talker Speech Recognition for Online and Offline Scenarios
Aswin Shanmugam Subramanian, Amit Das, Naoyuki Kanda et al.
Speaker-Distinguishable CTC: Learning Speaker Distinction Using CTC for Multi-Talker Speech Recognition
Asahi Sakuma, Hiroaki Sato, Ryuga Sugano et al.
Speaker Targeting via Self-Speaker Adaptation for Multi-talker ASR
Weiqing Wang, Taejin Park, Ivan Medennikov et al.
AISHELL-5: The First Open-Source In-Car Multi-Channel Multi-Speaker Speech Dataset for Automatic Speech Diarization and Recognition
Yuhang Dai, He Wang, Xingchen Li et al.
Benchmarking Neural Speech Codec Intelligibility with SITool
Anna Leschanowsky, Kishor Kayyar Lakshminarayana, Anjana Rajasekhar et al.
French Listening Tests for the Assessment of Intelligibility, Quality, and Identity of Body-Conducted Speech Enhancement
Thomas Joubaud, Julien Hauret, Véronique Zimpfer et al.
Intelligibility Prediction for Time-Modified Speech Signals Using Spectro-Temporal Modulation Features
Aymen Bashir, Haolan Wang, Amin Edraki et al.
Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids
Ryandhimas E. Zezario, Sabato M. Siniscalchi, Fei Chen et al.
No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
Haoshuai Zhou, Changgeng Mo, Boxuan Cao et al.
Non-Intrusive Binaural Speech Intelligibility Prediction Using Mamba for Hearing-Impaired Listeners
Katsuhiko Yamamoto, Koichi Miyazaki
A-SMiLE: Affective Sparse Mixture-of-Experts Adapter with Multi-Task Learning for Spoken Dialogue Models
Yi-Wen Chao, Yizhou Peng, Dianwen Ng et al.
Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions
Ankush Raut, Projna Paromita, Sydney Begerowski et al.
Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition
Jule Valendo Halim, Siyi Wang, Hong Jia et al.
Exploring the Limits of Conformer CTC-Encoder for Speech Emotion Recognition using Large Language Models
Edmilson Morais, Hagai Aronowitz, Aharon Satt et al.