conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Multimodal Learning

13,185 papers

Papers per year

2
46
675
3655
'10
'15
'20
'25

Papers

Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models INTERSPEECH 2024
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding INTERSPEECH 2024
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment INTERSPEECH 2024
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning INTERSPEECH 2024
Depression Enhances Internal Inconsistency between Spoken and Semantic Emotion: Evidence from the Analysis of Emotion Expression in Conversation INTERSPEECH 2024
Active Speaker Detection in Fisheye Meeting Scenes with Scene Spatial Spectrums INTERSPEECH 2024
E-ODN: An Emotion Open Deep Network for Generalised and Adaptive Speech Emotion Recognition INTERSPEECH 2024
Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment INTERSPEECH 2024
CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech INTERSPEECH 2024
Target Speaker Extraction with Curriculum Learning INTERSPEECH 2024
Exploring the Robustness of Text-to-Speech Synthesis Based on Diffusion Probabilistic Models to Heavily Noisy Transcriptions INTERSPEECH 2024
PitchFlow: adding pitch control to a Flow-matching based TTS model INTERSPEECH 2024
Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems INTERSPEECH 2024
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting INTERSPEECH 2024
Deep Prosodic Features in Tandem with Perceptual Judgments of Word Reduction for Tone Recognition in Conversed Speech INTERSPEECH 2024
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition INTERSPEECH 2024
Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders INTERSPEECH 2024
Enhancing Multimodal Emotion Recognition through ASR Error Compensation and LLM Fine-Tuning INTERSPEECH 2024
Bridging Emotions Across Languages: Low Rank Adaptation for Multilingual Speech Emotion Recognition INTERSPEECH 2024
Are Paralinguistic Representations all that is needed for Speech Emotion Recognition? INTERSPEECH 2024
Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection INTERSPEECH 2024
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection INTERSPEECH 2024
DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation INTERSPEECH 2024
Leveraging Language Model Capabilities for Sound Event Detection INTERSPEECH 2024
Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models INTERSPEECH 2024