Sökning: "Voice Activity Detection"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Voice Activity Detection.

  1. 1. Towards a Nuanced Evaluation of Voice Activity Detection Systems : An Examination of Metrics, Sampling Rates and Noise with Deep Learning

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Ludvig Joborn; Mattias Beming; [2022]
    Nyckelord :voice activity detection; VAD; deep learning; machine learning; ML; artificial intelligence; AI; convolutional neural network; CNN; deep neural network; DNN; sound event detection; SED; mel spectrogram; audio processing; polyphonic sound detection score; PSDS; signal processing; signal to noise ratio; SNR; recurrent convolutional residual neural network; RCRNN; sampling rate; Gaussian noise;

    Sammanfattning : Recently, Deep Learning has revolutionized many fields, where one such area is Voice Activity Detection (VAD). This is of great interest to sectors of society concerned with detecting speech in sound signals. One such sector is the police, where criminal investigations regularly involve analysis of audio material. LÄS MER

  2. 2. Evaluation of the Perceived Speech Quality for G729D and Opus : With Different Network Scenarios and an Implemented VoIP Application

    Master-uppsats, Linköpings universitet/Informationskodning

    Författare :Louise Almér; [2022]
    Nyckelord :Compression; Codec; audio; speech quality; quality of experience;

    Sammanfattning : Communication has always been a vital part of our society, and day-to-day communication is increasingly becoming more digital. VoIP (voice over IP) is used for real-time communication, and to be able to send the information over the internet must the speech be compressed to lower the number of bits needed for transmission. LÄS MER

  3. 3. An Exploratory Study of Simple Fall and Activity Recognition Using mmWave

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Tim Johansson; Leo Wikström; [2021]
    Nyckelord :mmWave; radar; fmcw; smart home;

    Sammanfattning : Background. As smart appliances become more attractive, the demand from public consumers grows, and producers are in search of innovative technologies that may aid in the creation of smart homes. Current products may use screens and buttons, voice commands and motion detection to create an interactive experience for consumers. LÄS MER

  4. 4. Robust Speech Activity Detection and Direction of Arrival Using Convolutional Neural Networks

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

    Författare :Anton Näslund; Charlie Jeansson; [2020]
    Nyckelord :Speech Activity Detection SAD ; ConvolutionNeural Networks CNN ; CMU Artic; Pyroomacustic; VoiceActivity Detection VAD .;

    Sammanfattning : Social robots are becoming more and more common in our everyday lives. In the field of conversational robotics, the development goes towards socially engaging robots with humanlike conversation. This project looked into one of the technical aspects when recognizing speech, videlicet speech activity detection (SAD). LÄS MER

  5. 5. Combining Acoustic Echo Cancellation and Voice Activity Detection in Social Robotics

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Anton Fahlgren; [2019]
    Nyckelord :;

    Sammanfattning : This thesis is partly a theoretical introduction to some basic concepts of signal processing such as the Fourier transform, linear time invariant systems and spectral analysis of random signals, both in the continuous and discrete setting. A second part is devoted to theory and applications of echo cancellation and voice activity detection in so called social robotics. LÄS MER