{"total":22,"rows":[{"id":"2310.04673","title":"LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT","created":"2023-10-07","cited_by_count":78,"area":null},{"id":"2402.08093","title":"BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data","created":"2024-02-12","cited_by_count":75,"area":null},{"id":"2502.06490","title":"Recent Advances in Discrete Speech Tokens: A Review","created":"2025-02-10","cited_by_count":43,"area":null},{"id":"2406.10735","title":"How Should We Extract Discrete Audio Tokens from Self-Supervised Models?","created":"2024-06-15","cited_by_count":24,"area":null},{"id":"2408.13040","title":"SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks","created":"2024-08-23","cited_by_count":12,"area":null},{"id":"2504.10352","title":"Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis","created":"2025-04-14","cited_by_count":10,"area":null},{"id":"2409.06109","title":"Estimating the Completeness of Discrete Speech Units","created":"2024-09-09","cited_by_count":9,"area":null},{"id":"2404.06674","title":"VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing","created":"2024-04-10","cited_by_count":7,"area":null},{"id":"2410.15764","title":"LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec","created":"2024-10-21","cited_by_count":7,"area":null},{"id":"2409.01995","title":"vec2wav 2.0: Advancing Voice Conversion via Discrete Token Vocoders","created":"2024-09-03","cited_by_count":6,"area":null},{"id":"2409.08805","title":"Exploring SSL Discrete Tokens for Multilingual ASR","created":"2024-09-13","cited_by_count":6,"area":null},{"id":"2508.16576","title":"Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet","created":"2025-08-22","cited_by_count":6,"area":null},{"id":"2409.08797","title":"Exploring SSL Discrete Speech Features for Zipformer-based Contextual ASR","created":"2024-09-13","cited_by_count":2,"area":null},{"id":"2509.00503","title":"Entropy-based Coarse and Compressed Semantic Speech Representation Learning","created":"2025-08-30","cited_by_count":2,"area":null},{"id":"2404.06079","title":"The X-LANCE Technical Report for Interspeech 2024 Speech Processing Using Discrete Speech Unit Challenge","created":"2024-04-09","cited_by_count":1,"area":null},{"id":"2409.15732","title":"Hypothesis Clustering and Merging: Novel MultiTalker Speech Recognition with Speaker Tokens","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2505.13085","title":"Universal Semantic Disentangled Privacy-preserving Speech Representation Learning","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2507.12825","title":"Autoregressive Speech Enhancement via Acoustic Tokens","created":"2025-07-17","cited_by_count":1,"area":null},{"id":"2508.11224","title":"Benchmarking Prosody Encoding in Discrete Speech Tokens","created":"2025-08-15","cited_by_count":1,"area":null},{"id":"2601.12205","title":"Do Neural Codecs Generalize? A Controlled Study Across Unseen Languages and Non-Speech Tasks","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2602.04217","title":"Frontend Token Enhancement for Token-Based Speech Recognition","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2607.03928","title":"TokAN: Accent Normalization Using Self-Supervised Speech Tokens","created":"2026-07-04","cited_by_count":0,"area":null}],"next_cursor":null}