Essays about: "automatic speech recognition"

Showing result 1 - 5 of 59 essays containing the words automatic speech recognition.

  1. 1. Prosody and emotion: Towards the development of an emotional agent Emotional evaluation of news reports: production and perception experiments

    University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Author : Liina Tumma; [2022-01-20]
    Keywords : emotion; speech; prosody;

    Abstract : There is a recognised need for more research on the topic of emotion recognition from speech, and clear and defined methodology in this area is still lacking. Most studies in the field of emotional speech recognition and classification usually focus on acted speech as the data source; consequently, other methods that capture more natural speech are left aside. READ MORE

  2. 2. Generation of Control Logic from Ordinary Speech

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Hamed Haghjo; Elias Vahlberg; [2022]
    Keywords : Code generation; generation of code; generation of control logic; natural language processing;

    Abstract : 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

  3. 3. WebXR Voice Assistant : A comparative study of automatic speech recognition implementation methods in a web-based VR environment

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Elias Berglin; [2022]
    Keywords : ASR; ONNX; Machine Learning; ReactJS; WebAssembly;

    Abstract : Fully autonomous cars are on the horizon. Knightec wants to enable passengers of the future car to be more productive and entertained with a new web platform. With this platform, Knightec wants to explore different input methods one of which being a voice assistant. READ MORE

  4. 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)

    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. 5. CLASSIFYING ANXIETY BASED ON A VOICERECORDING USING LEARNING ALGORITHMS

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Oscar Sherlock; Olle Rönnbäck; [2022]
    Keywords : ANN; CNN; Machine learning; Deep learning; ML; DL; Voice recognition; Anxiety;

    Abstract : Anxiety is becoming more and more common, seeking help to evaluate your anxiety canfirst of all take a long time, secondly, many of the tests are self-report assessments that could cause incorrect results. It has been shown there are several voice characteristics that are affected in people with anxiety. READ MORE