contrastive language-audio pretraining

Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval ACL 2026 ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Interspeech 2025 CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning Interspeech 2025 GLCLAP: A Novel Contrastive Learning Pre-trained Model for Contextual Biasing in ASR Interspeech 2025 iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models EMNLP 2025 Optimizing CLAP Reward with LLM Feedback for Semantically Aligned and Diverse Automated Audio Captioning Interspeech 2025 Pull It Together: Reducing the Modality Gap in Contrastive Learning Interspeech 2025 RA-CLAP: Relation-Augmented Emotional Speaking Style Contrastive Language-Audio Pretraining For Speech Retrieval Interspeech 2025 M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation Interspeech 2024 ParaCLAP – Towards a general language-audio model for computational paralinguistic tasks Interspeech 2024 Retrieval Augmented Generation in Prompt-based Text-to-Speech Synthesis with Context-Aware Contrastive Language-Audio Pretraining Interspeech 2024 tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models Interspeech 2024 AudioLDM: Text-to-Audio Generation with Latent Diffusion Models ICML 2023 CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning NeurIPS 2023 Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models ICML 2023 Masked Audio Modeling with CLAP and Multi-Objective Learning Interspeech 2023