Imagen de Portada

Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Peilin, Choi, Jinho D.
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection
por: Hakimi, Ahmad Dawar, et al.
Publicado: (2026)

Large Language Models Still Exhibit Bias in Long Text
por: Jeung, Wonje, et al.
Publicado: (2024)

Speakers Unembedded: Embedding-free Approach to Long-form Neural Diarization
por: Li, Xiang, et al.
Publicado: (2024)

D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
por: Byun, Grace, et al.
Publicado: (2025)

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder
por: Shakeel, Muhammad, et al.
Publicado: (2025)

Domain-Aware Speaker Diarization On African-Accented English
por: Okocha, Chibuzor, et al.
Publicado: (2025)

A Review of Common Online Speaker Diarization Methods
por: Aperdannier, Roman, et al.
Publicado: (2024)

DiariST: Streaming Speech Translation with Speaker Diarization
por: Yang, Mu, et al.
Publicado: (2023)

System Description for the Displace Speaker Diarization Challenge 2023
por: Aliyev, Ali
Publicado: (2024)

ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
por: Ascoli, Benjamin G., et al.
Publicado: (2024)

Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
por: Wu, Peilin, et al.
Publicado: (2025)

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
por: Nguyen, Minh, et al.
Publicado: (2024)

Systematic Evaluation of Online Speaker Diarization Systems Regarding their Latency
por: Aperdannier, Roman, et al.
Publicado: (2024)

Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models
por: Finch, Sarah E., et al.
Publicado: (2024)

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
por: Zhang, Caiqi, et al.
Publicado: (2024)

Should We Still Pretrain Encoders with Masked Language Modeling?
por: Gisserot-Boukhlef, Hippolyte, et al.
Publicado: (2025)

Exploring Speech Foundation Models for Speaker Diarization in Child-Adult Dyadic Interactions
por: Xu, Anfeng, et al.
Publicado: (2024)

LLM-as-a-Grader: Practical Insights from Large Language Model for Short-Answer and Report Evaluation
por: Byun, Grace, et al.
Publicado: (2025)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
por: Tang, Yixuan, et al.
Publicado: (2024)

Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
por: Attimonelli, Matteo, et al.
Publicado: (2025)

A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification
por: Uro, Rémi, et al.
Publicado: (2024)

Do We Need Frontier Models to Verify Mathematical Proofs?
por: Naik, Aaditya, et al.
Publicado: (2026)

ShobdoSetu: A Data-Centric Framework for Bengali Long-Form Speech Recognition and Speaker Diarization
por: Sakib, Md. Nazmus, et al.
Publicado: (2026)

Why Are We Lonely? Leveraging LLMs to Measure and Understand Loneliness in Caregivers and Non-caregivers
por: Kim, Michelle Damin, et al.
Publicado: (2026)

Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?
por: Yoshida, Lui
Publicado: (2025)

Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
por: Finch, James D., et al.
Publicado: (2024)

Do We Really Need GNNs with Explicit Structural Modeling? MLPs Suffice for Language Model Representations
por: Zhou, Li, et al.
Publicado: (2025)

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?
por: Zhang, Junyan, et al.
Publicado: (2025)

Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation
por: Cheng, Luyao, et al.
Publicado: (2023)

From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
por: Liu, Tianqiao, et al.
Publicado: (2025)

ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI
por: Finch, Sarah E., et al.
Publicado: (2024)

What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
por: Yu, Jeongrok, et al.
Publicado: (2024)

Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio
por: Zhang, Lin, et al.
Publicado: (2024)

Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning
por: Abdullah, Abdulhady Abas, et al.
Publicado: (2025)

SpeakerSleuth: Can Large Audio-Language Models Judge Speaker Consistency across Multi-turn Dialogues?
por: Lee, Jonggeun, et al.
Publicado: (2026)

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching
por: Wisznia, Juan, et al.
Publicado: (2025)

PersonaKit (PK): A Plug-and-Play Platform for User Testing Diverse Roles in Full-Duplex Dialogue
por: Jeon, Hyunbae, et al.
Publicado: (2026)

TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Grounding
por: Huo, Mingyue, et al.
Publicado: (2026)

DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs
por: Choi, Nayoung, et al.
Publicado: (2026)

Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization
por: Marie, Ambre, et al.
Publicado: (2026)