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Visar resultat 21 - 25 av 77 uppsatser som matchar ovanstående sökkriterier.

  1. 21. Automatic Annotation of Speech: Exploring Boundaries within Forced Alignment for Swedish and Norwegian

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Klaudia Biczysko; [2022]
    Nyckelord :forced alignment; automatic speech recognition; ASR; natural language processing; under-resourced languages; Swedish; Norwegian; CTC segmentation; wav2vec2; kaldi; HTK; dynamic time warping;

    Sammanfattning : In Automatic Speech Recognition, there is an extensive need for time-aligned data. Manual speech segmentation has been shown to be more laborious than manual transcription, especially when dealing with tens of hours of speech. LÄS MER

  3. 22. Taligenkänning i fabriksmiljö : Påverkan av bakgrundsljudets frekvens & typ av ljud

    M1-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Erik Boström; [2022]
    Nyckelord :;

    Sammanfattning : Detta arbete, som utförts i samband med Monitor ERP är en undersökning av potentiell användning av Automatic speech recognition (ASR) i deras system.Delen av Monitor där ASR skulle vara intressant stämplingsterminalen, används ofta i miljöer med högt bakgrundsljud. LÄS MER

  4. 23. Evaluation between Google's and Microsoft's automated speech recognition services regarding performance in Swedish

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Nils Sörby; [2022]
    Nyckelord :;

    Sammanfattning : This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the context of call center self-service systems, in Swedish. One of the ASR systems is provided by Google and the other is from Microsoft. LÄS MER

  5. 24. AI’s implications for International Entrepreneurship in the digital and pandemic world : From external and internal perspectives

    Master-uppsats, Linnéuniversitetet/Institutionen för marknadsföring (MF)

    Författare :Ibb Lampic Aaltonen; Fiona Fust; [2022]
    Nyckelord :Artificial intelligence; International entrepreneurship; Innovation; Business Opportunity; Resource; Entrepreneurship; Covid-19; Automatic Speech Recognition.;

    Sammanfattning : In the fourth industrial revolution, technological advancement and digital transformation are inevitable, which impact individuals, organizations, and governments tremendously and extensively. The current ongoing pandemic covid -19 has been a catalyst that accelerates the pace and scale of embracing digitalization, which leads to a dramatic shift in the business environment. LÄS MER

  7. 25. Understanding Automatic Speech Recognition for L2 Speakers and Unintended Discrimination in Artificial Intelligence

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alfred Knowles; Filip Mattsson; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER