How can data augmentation techniques be adapted for low-resource languages?

Jan 15, 2021 ... This paper presents a deep learning-based approach to improve speech denoising in real-world audio environments by not requiring the availability of clean ... Jun 11, 2022 ... Background. Speech is the most common modality through which language is communicated, and delayed, disordered, or absent speech production is a ... Speech recognition, as a biometric modality, offers unique advantages such as user-friendliness and non-intrusiveness, etc. However, developing robust and ... In the current context, voice synthesis has both beneficial and detrimental applications, with audio deepfakes being a significant concern in the world of ... We propose a time-domain articulatory synthesis methodology and demonstrate its efficacy with both electromagnetic articulography (EMA) and synthetic ... Training on a dataset of about 50 hours of telephone speech, which was part Switchboard and partly collected in-house, we got an error rate of about 80% with ... Apr 20, 2018 ... Baidu Research's Deep Speech 2 model converts speech to text end to end from a normalized sound spectrogram to the sequence of characters. In this investigation, a deep neural network (DNN) based speech extraction method is proposed to enhance a speech signal propagating from the desired direction. Mar 29, 2024 ... Deep Speech is the language of aberrations. Start spawn, neogi, psurlons, aboleth, and other beholderkin are speakers of this language. Sep 17, 2023 ... Mozilla's DeepSpeech is an open-source automatic speech recognition (ASR) system that aims to convert spoken language into written text using ...