Sökning: "speech recognition"

Visar resultat 6 - 10 av 269 uppsatser innehållade orden speech recognition.

  1. 6. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

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

    Författare :Axel Valentin Maza; [2023]
    Nyckelord :Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

    Sammanfattning : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. LÄS MER

  3. 7. Intelligible dialogue manager for social robots : An AI dialogue robot solution based on Rasa open-source framework and Pepper robot

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Jiangeng Sun; [2023]
    Nyckelord :Rasa; understandable robots; HRI;

    Sammanfattning : In the process of Human-Robot Interaction, improving the intelligibility of robots is crucial. Intelligibility refers to the degree to which humans can understand robot behavior and decision-making. When humans interact with low-intelligibility robots, it can lead to a series of problems, such as misunderstanding and trust issues. LÄS MER

  4. 8. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Ishika Gupta; [2023]
    Nyckelord :Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

    Sammanfattning : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. LÄS MER

  5. 9. Word-form recognition in 6-month-olds? Using event-related potentials to study the influence of infant-directed speech

    Master-uppsats, Stockholms universitet/Institutionen för lingvistik

    Författare :Bente Sand Aronsson; [2023]
    Nyckelord :Word-form recognition; event-related potentials; infant-directed speech; language acquisition; Igenkänning av ordformer; event-relaterade potentialer; barnriktat tal; språkinlärning;

    Sammanfattning : By 4.5 months infants listen longer to their names compared to matched foils, which is the earliest empirically demonstrated sign of word-form recognition. This ability develops gradually in the first year of life and becomes increasingly advanced. LÄS MER

  7. 10. Automatic Voice Trading Surveillance : Achieving Speech and Named Entity Recognition in Voice Trade Calls Using Language Model Interpolation and Named Entity Abstraction

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Martin Sundberg; Mikael Ohlsson; [2023]
    Nyckelord :Automatic Speech Recognition; Natural Language Model; Named Entity Recognition; Voice Trading; Market Surveillance.;

    Sammanfattning : This master thesis explores the effectiveness of interpolating a larger generic speech recognition model with smaller domain-specific models to enable transcription of domain-specific conversations. The study uses a corpus within the financial domain collected from the web and processed by abstracting named entities such as financial instruments, numbers, as well as names of people and companies. LÄS MER