Imagen de Portada

Evaluating and Improving Continual Learning in Spoken Language Understanding

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Muqiao, Li, Xiang, Cappellazzo, Umberto, Watanabe, Shinji, Raj, Bhiksha
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Sound Audio and Speech Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Continual Contrastive Spoken Language Understanding
por: Cappellazzo, Umberto, et al.
Publicado: (2023)

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

DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding
por: Shon, Suwon, et al.
Publicado: (2024)

UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
por: Arora, Siddhant, et al.
Publicado: (2023)

MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models
por: Yang, Chih-Kai, et al.
Publicado: (2026)

UniSLU: Unified Spoken Language Understanding from Heterogeneous Cross-Task Datasets
por: Sheng, Zhichao, et al.
Publicado: (2025)

Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling
por: Chen, Maximillian, et al.
Publicado: (2024)

Towards Robust Speech Representation Learning for Thousands of Languages
por: Chen, William, et al.
Publicado: (2024)

GOAT-SLM: A Spoken Language Model with Paralinguistic and Speaker Characteristic Awareness
por: Chen, Hongjie, et al.
Publicado: (2025)

TELEVAL: A Dynamic Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
por: Li, Zehan, et al.
Publicado: (2025)

An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
por: Tulsiani, Hitesh, et al.
Publicado: (2024)

A Variational Framework for Improving Naturalness in Generative Spoken Language Models
por: Chen, Li-Wei, et al.
Publicado: (2025)

Revisiting Acoustic Features for Robust ASR
por: Shah, Muhammad A., et al.
Publicado: (2024)

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

Data Augmentation for Spoken Grammatical Error Correction
por: Karanasou, Penny, et al.
Publicado: (2025)

VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions
por: Zhan, Jun, et al.
Publicado: (2025)

Spoken Language Intelligence of Large Language Models for Language Learning
por: Peng, Linkai, et al.
Publicado: (2023)

Retrieval Augmented End-to-End Spoken Dialog Models
por: Wang, Mingqiu, et al.
Publicado: (2024)

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

What Do Speech Foundation Models Not Learn About Speech?
por: Waheed, Abdul, et al.
Publicado: (2024)

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
por: Wright, George August, et al.
Publicado: (2023)

LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
por: Fang, Qingkai, et al.
Publicado: (2025)

SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models
por: Wan, Zhen, et al.
Publicado: (2025)

LALM-as-a-Judge: Benchmarking Large Audio-Language Models for Safety Evaluation in Multi-Turn Spoken Dialogues
por: Ivry, Amir, et al.
Publicado: (2026)

MULTI-Bench: A Multi-Turn Interactive Benchmark for Assessing Emotional Intelligence ability of Spoken Dialogue Models
por: Deng, Yayue, et al.
Publicado: (2025)

MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
por: Wang, Dingdong, et al.
Publicado: (2025)

Chain-of-Thought Reasoning in Streaming Full-Duplex End-to-End Spoken Dialogue Systems
por: Arora, Siddhant, et al.
Publicado: (2025)

KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness
por: Kim, Jinyoung, et al.
Publicado: (2026)

SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition
por: Wu, Yihan, et al.
Publicado: (2024)

ADIFF: Explaining audio difference using natural language
por: Deshmukh, Soham, et al.
Publicado: (2025)

Mellow: a small audio language model for reasoning
por: Deshmukh, Soham, et al.
Publicado: (2025)

Chain-of-Thought Training for Open E2E Spoken Dialogue Systems
por: Arora, Siddhant, et al.
Publicado: (2025)

All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation
por: Foo, Leonardo Haw-Yang, et al.
Publicado: (2026)

Roadmap towards Superhuman Speech Understanding using Large Language Models
por: Bu, Fan, et al.
Publicado: (2024)

BERT-LID: Leveraging BERT to Improve Spoken Language Identification
por: Nie, Yuting, et al.
Publicado: (2022)

Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
por: Villatoro-Tello, Esaú, et al.
Publicado: (2022)

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

ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems
por: Arora, Siddhant, et al.
Publicado: (2025)

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

uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes
por: Waheed, Abdul, et al.
Publicado: (2024)