Machine learning methods for language

Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features

SUPERVISED CONTRASTIVE LEARNING AS MULTI-OBJECTIVE OPTIMIZATION FOR FINE-TUNING LARGE PRE-TRAINED LANGUAGE MODELS

DISTILL-QUANTIZE-TUNE - LEVERAGING LARGE TEACHERS FOR LOW-FOOTPRINT EFFICIENT MULTILINGUAL NLU ON EDGE

Exploring Subgroup Performance in End-to-End Speech Models

Perceptual-Neural-Physical Sound Matching

Meta Learning for Domain Agnostic Soft Prompt

To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement

Self-Supervised Adversarial Training for Contrastive Sentence Embedding

SERI: SkEtching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation

MODELING TURN-TAKING IN HUMAN-TO-HUMAN SPOKEN DIALOGUE DATASETS USING SELF-SUPERVISED FEATURES

Text Classification in the Wild: A Large-Scale Long-Tailed Name Normalization Dataset

KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting