Essays about: "evaluation in language"

Showing result 11 - 15 of 458 essays containing the words evaluation in language.

  1. 11. 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

  2. 12. Development and Implementation Strategies Towards a Comprehensive YANG Model-Based Configuration Data Generation Tool

    University essay from KTH/Hälsoinformatik och logistik

    Author : Alma Garpenfeldt; Linus Silfver Shahparastan; [2023]
    Keywords : YANG modeling language; Configuration management; Network management; Template-based configuration; NETCONF protocol; YANG-modelleringsspråk; Konfigurationshantering; Nätverkshantering; Mall-baserad konfiguration; NETCONF-protokoll;

    Abstract : Effective management and operation of modern networks heavily rely on efficient network configuration management and infrastructure. Manual configuration management has been proven inefficient, and there is a need to automatize it. READ MORE

  3. 13. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  4. 14. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries

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

    Author : Celine Helgesson Hallström; [2023]
    Keywords : Natural Language Processing; Large Language Models; Automatic Text Evaluation; Text Summarization; Multilingualism; Naturlig Språkbehandling; Stora Språkmodeller; Automatisk Textutvärdering; Textsammanfattning; Flerspråkighet;

    Abstract : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. READ MORE

  5. 15. Improving customer support efficiency through decision support powered by machine learning

    University essay from Linköpings universitet/Programvara och system

    Author : Simon Boman; [2023]
    Keywords : Machine Learning; AI; NLP; Natural Language Processing; GPT-3; GPT-4; Recommendation System; Decision Support; Semantic Textual Similarity; Text Similarity; Customer Support Tickets; Case Study; Customer Support Efficiency; Healthcare; Medical Technology;

    Abstract : More and more aspects of today’s healthcare are becoming integrated with medical technology and dependent on medical IT systems, which consequently puts stricter re-quirements on the companies delivering these solutions. As a result, companies delivering medical technology solutions need to spend a lot of resources maintaining high-quality, responsive customer support. READ MORE