Modern speech synthesis systems have significantly improved, making synthetic speech indistinguishable from real speech. However, evaluating synthetic speech remains a challenge. Human evaluation using Mean Opinion Score (MOS) is ideal…
Continue readingThe paper presents a novel framework named SLIDAR that is capable of joint speaker diarization and automatic speech recognition. SLIDAR can process inputs of any length and can handle any…
Continue readingThe paper explores privacy-preserving and privacy-attacking strategies for audio and speech in voice-controlled devices. It provides an in-depth analysis of various attack and defense scenarios, highlighting the inherent susceptibility of…
Continue readingThe article discusses the development of Fast-HuBERT, an efficient training framework for self-supervised learning (SSL) models for speech recognition. The authors address the high computational cost of existing SSL models,…
Continue readingThe article discusses the development of the Open Whisper-style Speech Model (OWSM), a tool that reproduces the Whisper-style training of speech models using an open-source toolkit and publicly available data….
Continue readingThe article discusses recent advancements in Automatic Speech Recognition (ASR), particularly the increasing model sizes and their impact on computational efficiency. The authors propose a method to use the smallest…
Continue readingThe authors examine two popular end-to-end automatic speech recognition models, Connectionist Temporal Classification (CTC) and RNN-Transducer (RNN-T), for offline recognition of voice search queries. The models employ the neural architecture…
Continue readingThe study discusses the use of neural network pruning as an effective method for compressing a multilingual ASR model with minimal performance loss. The proposed adaptive masking approach results in…
Continue readingThis paper focuses on Whisper, a recent automatic speech recognition model trained with a massive 680k hour labeled speech corpus recorded in diverse conditions. The authors show an interesting finding…
Continue readingThis paper presents a method for improving automatic speech recognition (ASR) performance on speech containing overlapping utterances from more than one speaker. The authors propose a multi-talker ASR (MT-ASR) model…
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