{"total":14,"rows":[{"id":"2212.04559","title":"SpeechLMScore: Evaluating speech generation using speech language model","created":"2022-12-08","cited_by_count":20,"area":null},{"id":"2409.05356","title":"IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS","created":"2024-09-09","cited_by_count":16,"area":null},{"id":"2402.16321","title":"Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech","created":"2024-02-26","cited_by_count":7,"area":null},{"id":"2301.04320","title":"Rethinking complex-valued deep neural networks for monaural speech enhancement","created":"2023-01-11","cited_by_count":6,"area":null},{"id":"2407.11828","title":"Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors","created":"2024-07-16","cited_by_count":5,"area":null},{"id":"2505.18609","title":"RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations","created":"2025-05-24","cited_by_count":4,"area":null},{"id":"2601.13319","title":"Arab Voices: Mapping Standard and Dialectal Arabic Speech Technology","created":"2026-01-19","cited_by_count":4,"area":null},{"id":"2305.19396","title":"Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages","created":"2023-05-30","cited_by_count":3,"area":null},{"id":"2501.05332","title":"AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder","created":"2025-01-09","cited_by_count":3,"area":null},{"id":"2302.08095","title":"PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement","created":"2023-02-16","cited_by_count":2,"area":null},{"id":"2511.00256","title":"NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2211.08624","title":"Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement","created":"2022-11-16","cited_by_count":1,"area":null},{"id":"2402.01413","title":"Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2506.02082","title":"SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction","created":"2025-06-02","cited_by_count":0,"area":null}],"next_cursor":null}