Cover Image

TASTE-Streaming: Towards Streamable Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tseng, Liang-Hsuan, Lee, Hung-yi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
by: Tseng, Liang-Hsuan, et al.
Published: (2025)

TASLA: Text-Aligned Speech Tokens with Multiple Layer-Aggregation
by: Hsu, Ming-Hao, et al.
Published: (2025)

Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model
by: Fu, Yu-Kuan, et al.
Published: (2024)

Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)

Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
by: Huang, Kuan-Po, et al.
Published: (2023)

On the Evaluation of Speech Foundation Models for Spoken Language Understanding
by: Arora, Siddhant, et al.
Published: (2024)

Causal Tracing of Audio-Text Fusion in Large Audio Language Models
by: Chen, Wei-Chih, et al.
Published: (2026)

When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models
by: Li, Chen-An, et al.
Published: (2025)

SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
by: Hsu, Ming-Hao, et al.
Published: (2024)

Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs
by: Wang, Dingdong, et al.
Published: (2025)

Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data
by: Tseng, Liang-Hsuan, et al.
Published: (2024)

SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering
by: Lin, Chyi-Jiunn, et al.
Published: (2024)

Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
by: Yang, Chih-Kai, et al.
Published: (2024)

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
by: Tseng, Liang-Hsuan, et al.
Published: (2024)

Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization
by: Lin, Tzu-Quan, et al.
Published: (2025)

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
by: Lin, Hsi-Che, et al.
Published: (2024)

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information
by: Yang, Chih-Kai, et al.
Published: (2025)

DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models
by: Chang, Heng-Jui, et al.
Published: (2024)

Spoken Language Identification with Pre-trained Models and Margin Loss
by: Fang, Zhihua, et al.
Published: (2026)

VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
by: Lin, Yi-Cheng, et al.
Published: (2026)

Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
by: Kuan, Chun-Yi, et al.
Published: (2024)

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples
by: Kuan, Chun-Yi, et al.
Published: (2025)

Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
by: Yang, Chih-Kai, et al.
Published: (2025)

Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation
by: Kuan, Chun-Yi, et al.
Published: (2024)

End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering
by: Hu, Jiliang, et al.
Published: (2025)

Long-Form Speech Generation with Spoken Language Models
by: Park, Se Jin, et al.
Published: (2024)

Kanade: A Simple Disentangled Tokenizer for Spoken Language Modeling
by: Huang, Zhijie, et al.
Published: (2026)

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
by: Wang, Qichao, et al.
Published: (2025)

Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
by: Jung, Yeonjoon, et al.
Published: (2024)

ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs
by: Mousavi, Pooneh, et al.
Published: (2025)

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
by: Zhang, Xin, et al.
Published: (2023)

Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition
by: Yen, Hao, et al.
Published: (2024)

Continuous Speech Tokenizer in Text To Speech
by: Li, Yixing, et al.
Published: (2024)

Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
by: Lin, Yi-Cheng, et al.
Published: (2025)

On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
by: Hsu, Chan-Jan, et al.
Published: (2026)

On The Landscape of Spoken Language Models: A Comprehensive Survey
by: Arora, Siddhant, et al.
Published: (2025)

Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
by: Hsiao, Chi-Yuan, et al.
Published: (2025)

Hearing the Order: Investigating Position Bias in Large Audio-Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)

MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
by: Huang, Hsiao-Ying, et al.
Published: (2025)

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers
by: Lin, Tzu-Quan, et al.
Published: (2025)