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M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval.

, , , , , and . ICASSP, page 1-5. IEEE, (2023)

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Integrating Self-Supervised Speech Model with Pseudo Word-Level Targets from Visually-Grounded Speech Model., , , , , , , and . ICASSP Workshops, page 645-649. IEEE, (2024)Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality., , , , and . EMNLP, page 2236-2250. Association for Computational Linguistics, (2022)SpeechCLIP+: Self-Supervised Multi-Task Representation Learning for Speech Via Clip and Speech-Image Data., , , , , , , and . ICASSP Workshops, page 465-469. IEEE, (2024)Speculative Code Compaction: Eliminating Dead Code via Speculative Microcode Transformations., , , , , , , , , and . MICRO, page 162-180. IEEE, (2022)M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval., , , , , and . ICASSP, page 1-5. IEEE, (2023)SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model., , , , , and . SLT, page 715-722. IEEE, (2022)AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models., , , , , , , , , and 8 other author(s). ICASSP, page 6890-6894. IEEE, (2024)