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Dialogue Understanding
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking
Speech Recognition Rescoring with Large Speech-Text Foundation Models
A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder
Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks
Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT
Clean Label Attacks against SLU Systems
LAST: Language Model Aware Speech Tokenization
STAB: Speech Tokenizer Assessment Benchmark
WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding
Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
dMel: Speech Tokenization made Simple
Out-of-distribution generalisation in spoken language understanding
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding
A Contrastive Learning Approach to Mitigate Bias in Speech Models
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents
Investigating Low-Cost LLM Annotation for~Spoken Dialogue Understanding Datasets
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model
A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
On the Evaluation of Speech Foundation Models for Spoken Language Understanding
Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding
Item-Language Model for Conversational Recommendation
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
MSNER: A Multilingual Speech Dataset for Named Entity Recognition
Sonos Voice Control Bias Assessment Dataset: A Methodology for Demographic Bias Assessment in Voice Assistants
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.