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Jun 29, 2024 · There are currently two major approaches to improve the automatic speech recognition task based on a large number of unlabeled speech. The first strategy is called self-training, also known as pseudo-labeling, which consists in initially training a Teacher model from labeled data.
- Automatic Speech Recognition and Assessment Systems ... - Springer
The speech-based technologies included automatic speech...
- Automatic Speech Recognition and Assessment Systems ... - Springer
1 day ago · The speech-based technologies included automatic speech recognition (ASR) for keywords, automatic social communication severity assessment, and automatic speech production assessment. ASR is an essential component for enabling children with ASD to verbally interact with DTx.
5 days ago · Automatic Speech Recognition (ASR) systems take audio signals as inputs and output the corresponding text transcriptions. The text is then used to execute commands and perform searches in several application domains, including security-critical applications such as smartphone assistants, smart home assistants, and self-driving car ...
Jun 8, 2024 · Nowadays we have Google Cloud Speech Recognition, Sphinx, Wit.ai , Microsoft Bing Voice Recognition, Microsoft Azure Speech,Houndify, IBM Speech to Text, whisper and Whisper API (in Openai).
Jun 20, 2024 · "Speech Recognition: Fundamentals and Applications" delves into the subfield of computer science and computational linguistics dedicated to developing methods and technologies that enable computers to recognize spoken language and convert it into text, known as automatic speech recognition (ASR).
Jun 27, 2024 · The course introduces the overall framework for speech recognition, including speech signal analysis, acoustic modelling using hidden Markov models, language modelling and recognition search. Advanced topics covered will include speaker adaptation, robust speech recognition and speaker identification.
Jun 12, 2024 · Automatic speech recognition (ASR) research has achieved impressive performance in recent years and has significant potential for enabling access for people with dysarthria (PwD) in augmentative and alternative communication (AAC) and home environment systems.
