{"total":29,"rows":[{"id":"2106.15561","title":"A Survey on Neural Speech Synthesis","created":"2021-06-29","cited_by_count":184,"area":null},{"id":"2107.08661","title":"Translatotron 2: High-quality direct speech-to-speech translation with voice preservation","created":"2021-07-19","cited_by_count":71,"area":null},{"id":"2406.07855","title":"VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment","created":"2024-06-12","cited_by_count":38,"area":null},{"id":"2302.04215","title":"A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech","created":"2023-02-08","cited_by_count":22,"area":null},{"id":"2106.12896","title":"Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech","created":"2021-06-24","cited_by_count":14,"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":"2111.10139","title":"More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech","created":"2021-11-19","cited_by_count":12,"area":null},{"id":"2109.08710","title":"On-device neural speech synthesis","created":"2021-09-17","cited_by_count":9,"area":null},{"id":"2209.10887","title":"A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS","created":"2022-09-22","cited_by_count":9,"area":null},{"id":"2108.13320","title":"Neural HMMs are all you need (for high-quality attention-free TTS)","created":"2021-08-30","cited_by_count":8,"area":null},{"id":"2211.06892","title":"OverFlow: Putting flows on top of neural transducers for better TTS","created":"2022-11-13","cited_by_count":8,"area":null},{"id":"2101.05313","title":"Whispered and Lombard Neural Speech Synthesis","created":"2021-01-13","cited_by_count":6,"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":"2104.03815","title":"Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation","created":"2021-04-08","cited_by_count":4,"area":null},{"id":"2108.07737","title":"Combining speakers of multiple languages to improve quality of neural voices","created":"2021-08-17","cited_by_count":3,"area":null},{"id":"2304.07842","title":"A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers","created":"2023-04-16","cited_by_count":3,"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":"2502.01084","title":"Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2110.03857","title":"A study on the efficacy of model pre-training in developing neural text-to-speech system","created":"2021-10-08","cited_by_count":1,"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":"2106.15649","title":"Multi-Scale Spectrogram Modelling for Neural Text-to-Speech","created":"2021-06-29","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":"2203.11049","title":"AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling","created":"2022-03-21","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},{"id":"2404.02592","title":"Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation","created":"2024-04-03","cited_by_count":0,"area":null}],"next_cursor":null}