Essays about: "audio performance"

Showing result 6 - 10 of 177 essays containing the words audio performance.

  1. 6. Investigating the impact of physical layer transmission for Bluetooth LE Audio

    University essay from Jönköping University/JTH, Avdelningen för datavetenskap

    Author : Kevin Arponen; Axel Björkman; [2023]
    Keywords : Bluetooth Low Energy; Energy consumption; LC3; LE Audio; Physical Layer; Throughput; Wireless audio streaming; Wireless communication;

    Abstract : Bluetooth Low Energy (BLE) is a widely used low-energy version of Bluetooth’swireless protocol. To meet increasing requirements of modern wireless audio devices,Bluetooth LE Audio was released with its new Low Complexity CommunicationsCodec (LC3) being much more data efficient than its predecessor Low Complexity SubBand Coding. READ MORE

  3. 7. Diffusion-based Vocoding for Real-Time Text-To-Speech

    University essay from Lunds universitet/Matematisk statistik

    Author : Lukas Gardberg; [2023]
    Keywords : Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

    Abstract : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. READ MORE

  4. 8. How do voiceprints age?

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Maya Konstantinovna Nachesa; [2023]
    Keywords : Voiceprint; Speaker Emotion Recognition; Age; Speaker Verification;

    Abstract : Voiceprints, like fingerprints, are a biometric. Where fingerprints record a person's unique pattern on their finger, voiceprints record what a person's voice "sounds like", abstracting away from what the person said. They have been used in speaker recognition, including verification and identification. READ MORE

  5. 9. Violin Artist Identification by Analyzing Raga-vistaram Audio

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

    Author : Nandakishor Ramlal; [2023]
    Keywords : Artist identification; Music information retrieval; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Embeddings; log-Melspectrogram; Artistidentifiering; återhämtning av musikinformation; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Inbäddningar; log-Melspektrogram;

    Abstract : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. READ MORE

  6. 10. Spatialisation of Binaural Audio With Head Tracking in First-Person Computer Games

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Patrik Bergsten; Mikita Kihan; [2023]
    Keywords : Sound localisation; head tracking; binaural; audio; computer games; experiences;

    Abstract : Audio in today’s first person computer games plays a vital role in informing players about their surroundings as well as general gameplay elements. Awareness of the direction, distance, and spatial placement of audio sources can be crucial for players in various contexts. READ MORE