Essays about: "speech compression"

Showing result 1 - 5 of 11 essays containing the words speech compression.

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

    University essay from Linköpings universitet/Informationskodning

    Author : Louise Almér; [2022]
    Keywords : Compression; Codec; audio; speech quality; quality of experience;

    Abstract : 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. READ MORE

  3. 2. Compressing Deep Convolutional Neural Networks

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Diego Mancevo del Castillo Ayala; [2017]
    Keywords : machine learning neural networks image recognition;

    Abstract : Deep Convolutional Neural Networks and "deep learning" in general stand at the cutting edge on a range of applications, from image based recognition and classification to natural language processing, speech and speaker recognition and reinforcement learning. Very deep models however are often large, complex and computationally expensive to train and evaluate. READ MORE

  4. 3. Implementing Linear Predictive Coding based on a statistical model for LTE fronthaul

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Ghassan Nakkoul; Mohammad Shohag Hassan Kaikobad; [2016]
    Keywords : Entropy; LTE fronthaul; RRH; BBU; C-RAN; Quantization; LTE downlink; Cyclic prefix; LPC; EVM; OFDM; Linear predicting coding; LTE; Technology and Engineering;

    Abstract : This thesis studies the application of Linear Predictive coding (LPC) in the downlink of Long Term Evolution (LTE) fronthaul, which comprises of BBU and RRH. This can act as an additional module in the existing system. Today, the transmission of a single complex sample from the BBU to the RRH consumes 30 bits. READ MORE

  5. 4. Optimizing Stimulation Strategies in Cochlear Implants for Music Listening

    University essay from Lunds universitet/Matematisk statistik

    Author : Petra Maretic; [2015]
    Keywords : NSIM; N-of-M selection; compression; neurogram; signal processing; normal hearing model; cochlear implant; Mathematics and Statistics;

    Abstract : Most cochlear implant (CI) strategies are optimized for speech characteristics while music enjoyment is signicantly below normal hearing performance. In this thesis, electrical stimulation strategies in CIs are analyzed for music input. READ MORE

  6. 5. Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Emil Lundberg; [2015]
    Keywords : ANN; artificial neural network; SOINN; SOTPAR; SOTPAR2; prediction; spatio-temporal pattern detection; temporal activity diffusion; pattern recognition; unsupervised learning; vector quantization; ANN; artificiellt neuralt nätverk; artificiella neurala nätverk; SOINN; SOTPAR; SOTPAR2; förutsägelse; spatio-temporal mönsterdetekion; temporal aktivitetsdiffusion; mönsterigenkänning; oövervakad inlärning; vektorkvantisering;

    Abstract : Vector Quantization (VQ) is a classic optimization problem and a simple approach to pattern recognition. Applications include lossy data compression, clustering and speech and speaker recognition. READ MORE