{"total":17,"rows":[{"id":"2106.15561","title":"A Survey on Neural Speech Synthesis","created":"2021-06-29","cited_by_count":184,"area":null},{"id":"2203.03191","title":"Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features","created":"2022-03-07","cited_by_count":20,"area":null},{"id":"2102.06431","title":"VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention","created":"2021-02-12","cited_by_count":12,"area":null},{"id":"2206.07373","title":"NatiQ: An End-to-end Text-to-Speech System for Arabic","created":"2022-06-15","cited_by_count":7,"area":null},{"id":"2104.09995","title":"Review of end-to-end speech synthesis technology based on deep learning","created":"2021-04-20","cited_by_count":6,"area":null},{"id":"2103.16710","title":"A study of latent monotonic attention variants","created":"2021-03-30","cited_by_count":5,"area":null},{"id":"2202.07907","title":"Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis","created":"2022-02-16","cited_by_count":4,"area":null},{"id":"2410.22179","title":"Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech","created":"2024-10-29","cited_by_count":4,"area":null},{"id":"2108.06270","title":"Enhancing audio quality for expressive Neural Text-to-Speech","created":"2021-08-13","cited_by_count":2,"area":null},{"id":"2201.10375","title":"Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention","created":"2022-01-25","cited_by_count":2,"area":null},{"id":"2212.08321","title":"Investigation of Japanese PnG BERT language model in text-to-speech synthesis for pitch accent language","created":"2022-12-16","cited_by_count":2,"area":null},{"id":"2509.19852","title":"Eliminating stability hallucinations in llm-based tts models via attention guidance","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2102.00247","title":"Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet","created":"2021-01-30","cited_by_count":0,"area":null},{"id":"2109.13673","title":"Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS","created":"2021-09-28","cited_by_count":0,"area":null},{"id":"2110.04486","title":"PAMA-TTS: Progression-Aware Monotonic Attention for Stable Seq2Seq TTS With Accurate Phoneme Duration Control","created":"2021-10-09","cited_by_count":0,"area":null},{"id":"2212.13703","title":"Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2306.02593","title":"Rhythm-controllable Attention with High Robustness for Long Sentence Speech Synthesis","created":"2023-06-05","cited_by_count":0,"area":null}],"next_cursor":null}