{"total":27,"rows":[{"id":"2301.02111","title":"Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers","created":"2023-01-05","cited_by_count":752,"area":null},{"id":"2306.14289","title":"Faster Segment Anything: Towards Lightweight SAM for Mobile Applications","created":"2023-06-25","cited_by_count":352,"area":null},{"id":"2306.03509","title":"Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias","created":"2023-06-06","cited_by_count":51,"area":null},{"id":"2306.06211","title":"A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering","created":"2023-05-12","cited_by_count":45,"area":null},{"id":"2312.09579","title":"MobileSAMv2: Faster Segment Anything to Everything","created":"2023-12-15","cited_by_count":42,"area":null},{"id":"2311.12454","title":"HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis","created":"2023-11-21","cited_by_count":35,"area":null},{"id":"2306.07713","title":"Robustness of SAM: Segment Anything Under Corruptions and Beyond","created":"2023-06-13","cited_by_count":31,"area":null},{"id":"2412.06602","title":"Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey","created":"2024-12-09","cited_by_count":23,"area":null},{"id":"2307.05527","title":"The Ethical Implications of Generative Audio Models: A Systematic Literature Review","created":"2023-07-07","cited_by_count":18,"area":null},{"id":"2404.06690","title":"CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations","created":"2024-04-10","cited_by_count":15,"area":null},{"id":"2305.13831","title":"ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models","created":"2023-05-23","cited_by_count":14,"area":null},{"id":"2306.09417","title":"Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis","created":"2023-06-15","cited_by_count":13,"area":null},{"id":"2311.11465","title":"Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape","created":"2023-06-03","cited_by_count":10,"area":null},{"id":"2307.16879","title":"Image Synthesis under Limited Data: A Survey and Taxonomy","created":"2023-07-31","cited_by_count":9,"area":null},{"id":"2403.09620","title":"PosSAM: Panoptic Open-vocabulary Segment Anything","created":"2024-03-14","cited_by_count":9,"area":null},{"id":"2503.16956","title":"From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech","created":"2025-03-21","cited_by_count":9,"area":null},{"id":"2401.08095","title":"DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text Alignment","created":"2024-01-16","cited_by_count":8,"area":null},{"id":"2305.00866","title":"Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples","created":"2023-05-01","cited_by_count":5,"area":null},{"id":"2406.00146","title":"A Survey of Deep Learning Audio Generation Methods","created":"2024-05-31","cited_by_count":5,"area":null},{"id":"2310.12431","title":"SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation","created":"2023-10-19","cited_by_count":4,"area":null},{"id":"2505.00579","title":"Voice Cloning: Comprehensive Survey","created":"2025-05-01","cited_by_count":4,"area":null},{"id":"2406.16751","title":"Towards Zero-Shot Text-To-Speech for Arabic Dialects","created":"2024-06-24","cited_by_count":3,"area":null},{"id":"2412.20155","title":"Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting","created":"2024-12-28","cited_by_count":3,"area":null},{"id":"2608.23791","title":"EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis","created":"2026-08-24","cited_by_count":3,"area":null},{"id":"2311.05844","title":"Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping","created":"2023-09-25","cited_by_count":2,"area":null},{"id":"2509.03829","title":"NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation","created":"2025-09-04","cited_by_count":1,"area":null},{"id":"2501.08566","title":"Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement","created":"2025-01-15","cited_by_count":0,"area":null}],"next_cursor":null}