What are the challenges in developing Deep Speech systems that work well for diverse user groups?

Jun 9, 2011 ... It could be guttural or lyrical. It might be a whispered language with no body/facial movement by virtue of being in an underground environment. Dec 16, 2015 ... Whereas older voice-recognition systems include many handcrafted components to aid audio processing and transcription, the Baidu system learned ... Dec 31, 2021 ... Automatically derived deep speech parameters from the semantic verbal fluency (SVF) can potentially have an additional value to differentiate SCI, MCI and ... trained on clean speech signals as a deep speech model for speech enhancement [10]–[13]. In a semi-supervised speech separation method called multichannel ... We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages. Jul 31, 2021 ... Hi guys, recently, I created a simple implementation of Deep Speech in Unity. But I somehow is unable to successfully use the deep speech ... Abstract—Most of today's speech enhancement algorithms try to improve the quality or intelligibility of speech by modifying. DeepSpeech is an open-source speech recognition engine developed by Mozilla, based on a neural network architecture first published by Baidu. It's an "end-to- ... 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 ... Jul 12, 2021 ... At first I suspected it might be a matter of content permissions and only having Basic Rules on dndbeyond, but... pretty much all the languages ...