Essays about: "automatisk taligenkänning ASR"

Showing result 1 - 5 of 8 essays containing the words automatisk taligenkänning ASR.

1. 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)

   Author : Erik Henriksson; [2023]
   Keywords : Automatic Speech Recognition; Natural Language Processing; Speech Technology; Speech Quality Assessment; Text-To-Speech; Taligenkänning; Språkteknologi; Talkvalitetsbedömning; Talsyntes;

   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

3. 2. Mispronunciation Detection with SpeechBlender Data Augmentation Pipeline

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yassine Elkheir; [2023]
   Keywords : Computer-assisted pronunciation training CAPT ; Automatic Speech Recognition ASR ; Mispronunciation Detection MD and Data Augmentation; Datorstödd uttalsträning CAPT ; automatisk taligenkänning ASR ; upptäckt av felaktigt uttal MD och dataförstärkning;

   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

4. 3. 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)

   Author : Viktor Enzell; [2022]
   Keywords : Automatic Speech Recognition; Domain Adaptation; Language Models; Ngram Models; Wav2vec2; Taligenkänning; Domänanpassning; Språkmodeller; N-gramModeller; Wav2vec2;

   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

5. 4. Query By Example Keyword Spotting

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jonas Sunde Valfridsson; [2021]
   Keywords : Keyword Spotting; Automatic Speech Recognition; ASR; Query By Example; Deep Distance Learning; Dynamic Time Warping; Few- Shot Learning; Nyckelords igenkänning; automatisk taligenkänning; fåförsöksinlärning;

   Abstract : Voice user interfaces have been growing in popularity and with them an interest for open vocabulary keyword spotting. In this thesis we focus on one particular approach to open vocabulary keyword spotting, query by example keyword spotting. READ MORE

6. 5. Repairing Swedish Automatic Speech Recognition

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Karla Rehn; [2021]
   Keywords : Automatic speech recognition; Dialogue systems; Language models; ASR Repair; Automatisk taligenkänning; Dialogsystem; Språkmodeller; Reparation av taligenkänning;

   Abstract : The quality of automatic speech recognition has increased dramatically the last few years, but the performance for low and middle resource languages such as Swedish is still far from optimal. In this project a language model trained on large written corpora called KB-BERT is utilized to improve the quality of transcriptions for Swedish. READ MORE