Essays about: "automatisk taligenkänning"
Showing result 1 - 5 of 14 essays containing the words automatisk taligenkänning.
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1. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. READ MORE
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2. Mispronunciation Detection with SpeechBlender Data Augmentation Pipeline
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The rise of multilingualism has fueled the demand for computer-assisted pronunciation training (CAPT) systems for language learning, CAPT systems make use of speech technology advancements and offer features such as learner assessment and curriculum management. Mispronunciation detection (MD) is a crucial aspect of CAPT, aimed at identifying and correcting mispronunciations in second language learners’ speech. READ MORE
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3. Generation of Control Logic from Ordinary Speech
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Developments in automatic code generation are evolving remarkably fast, with companies and researchers competing to reach human-level accuracy and capability. Advancements in this field primarily focus on using machine learning models for end-to-end code generation. READ MORE
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4. Domain Adaptation with N-gram Language Models for Swedish Automatic Speech Recognition : Using text data augmentation to create domain-specific n-gram models for a Swedish open-source wav2vec 2.0 model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic Speech Recognition (ASR) enables a wide variety of practical applications. However, many applications have their own domain-specific words, creating a gap between training and test data when used in practice. READ MORE
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5. Understanding Automatic Speech Recognition for L2 Speakers and Unintended Discrimination in Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The thesis aimed to investigate the effects of unintended bias in artificial intelligence has on society and if it was possible to improve the performance of Auto-Speech- Recognition models by training them on non-native Swedish speakers. Two Automatic Speech Recognition systems, Microsoft Azure and Google cloud speech-to-text, were used in the process. READ MORE