Period Information Deviation on the Segmental Sinusoidal Model

Speech signal can be modeled by sinusoidal model. On the sinusoidal model, there are many kinds for representing the signal. One of model is Segmental Sinusoidal model. The segmental sinusoidal model is an approximation method based on sinusoidal model for speech signal, especially for periodic detection. The periodic signal can be decomposed by infinite sinusoidal signal with combination of amplitude, frequency and phase. After the signal is decomposed, parameter will be quantized. The proposed quantization method in this paper is sampling signal on big part between minimum and maximum part over observation block. Some parameters of speech signal are detected. The useful parameters are peaks and period between consecutive peaks. Period information obtained from this quantization tends to different than the original, In this paper, we show the experimental results that there are many differences between period information on encoder side with the decoder side. It caused by quantization error on period information and quantization error on the codebook design. Effect of differences is degradation of signal quality, especially on frequency signal accuracy. On this paper, deviation of the reconstructed signal from original signal will be evaluated. Deviation from the original signals means that some error occur on period quantization

Period Information Deviation on the Segmental Sinusoidal Model

Speech signal can be modeled by sinusoidal model. On the sinusoidal model, there are many kinds for representing the signal. One of model is Segmental Sinusoidal model. The segmental sinusoidal model is an approximation method based on sinusoidal model for speech signal, especially for periodic detection. The periodic signal can be decomposed by infinite sinusoidal signal with combination of amplitude, frequency and phase. After the signal is decomposed, parameter will be quantized. The proposed quantization method in this paper is sampling signal on big part between minimum and maximum part over observation block. Some parameters of speech signal are detected. The useful parameters are peaks and period between consecutive peaks. Period information obtained from this quantization tends to different than the original, In this paper, we show the experimental results that there are many differences between period information on encoder side with the decoder side. It caused by quantization error on period information and quantization error on the codebook design. Effect of differences is degradation of signal quality, especially on frequency signal accuracy. On this paper, deviation of the reconstructed signal from original signal will be evaluated. Deviation from the original signals means that some error occur on period quantizatio

Improving the robustness of CELP-like speech decoders using late-arrival packets information : application to G.729 standard in VoIP

L'utilisation de la voix sur Internet est une nouvelle tendance dans Ie secteur des télécommunications et de la réseautique. La paquetisation des données et de la voix est réalisée en utilisant Ie protocole Internet (IP). Plusieurs codecs existent pour convertir la voix codée en paquets. La voix codée est paquetisée et transmise sur Internet. À la réception, certains paquets sont soit perdus, endommages ou arrivent en retard. Ceci est cause par des contraintes telles que Ie délai («jitter»), la congestion et les erreurs de réseau. Ces contraintes dégradent la qualité de la voix. Puisque la transmission de la voix est en temps réel, Ie récepteur ne peut pas demander la retransmission de paquets perdus ou endommages car ceci va causer plus de délai. Au lieu de cela, des méthodes de récupération des paquets perdus (« concealment ») s'appliquent soit à l'émetteur soit au récepteur pour remplacer les paquets perdus ou endommages. Ce projet vise à implémenter une méthode innovatrice pour améliorer Ie temps de convergence suite a la perte de paquets au récepteur d'une application de Voix sur IP. La méthode a déjà été intégrée dans un codeur large-bande (AMR-WB) et a significativement amélioré la qualité de la voix en présence de <<jitter » dans Ie temps d'arrivée des trames au décodeur. Dans ce projet, la même méthode sera intégrée dans un codeur a bande étroite (ITU-T G.729) qui est largement utilise dans les applications de voix sur IP. Le codeur ITU-T G.729 défini des standards pour coder et décoder la voix a 8 kb/s en utilisant 1'algorithme CS-CELP (Conjugate Stmcture Algebraic Code-Excited Linear Prediction).Abstract: Voice over Internet applications is the new trend in telecommunications and networking industry today. Packetizing data/voice is done using the Internet protocol (IP). Various codecs exist to convert the raw voice data into packets. The coded and packetized speech is transmitted over the Internet. At the receiving end some packets are either lost, damaged or arrive late. This is due to constraints such as network delay (fitter), network congestion and network errors. These constraints degrade the quality of speech. Since voice transmission is in real-time, the receiver can not request the retransmission of lost or damaged packets as this will cause more delay. Instead, concealment methods are applied either at the transmitter side (coder-based) or at the receiver side (decoder-based) to replace these lost or late-arrival packets. This work attempts to implement a novel method for improving the recovery time of concealed speech The method has already been integrated in a wideband speech coder (AMR-WB) and significantly improved the quality of speech in the presence of jitter in the arrival time of speech frames at the decoder. In this work, the same method will be integrated in a narrowband speech coder (ITU-T G.729) that is widely used in VoIP applications. The ITUT G.729 coder defines the standards for coding and decoding speech at 8 kb/s using Conjugate Structure Algebraic Code-Excited Linear Prediction (CS-CELP) Algorithm

Electromyography (EM G) Signal Compression using Sinusoidal Segmental Model

Muscle signal called electromyography signal have a positive-negative signal generated by MUAP. The number of MUAP is depends on the muscle activity. On the stressed muscle, the characteristics is like periodic signal. Based on its characteristic, we can be modeled this by sinusoidal model. On the sinusoidal model, there are many kinds for representing the signal. One of model is Segmental Sinusoidal model. EMG signal can be represented as a combination of sinusoidal signal which was generated by muscle system with infinite combination of amplitude, frequency and phase. On quantization based on peak to peak, EMG signal was detected its peaks, both of positive and negative. Then time distance between peak to peak would be quantized. In this paper, we proposed a new method to quantize and reconstruct ECG signal which segmented by peak to peak based on sinusoidal model. The part of signal between positive peak and following negative peak or vice versa was estimated as a half period of the sinusoid signal. Magnitude between peaks was the double of the estimated sine amplitude. The information which taken from quantization process were period and gain. The experiment result show that synthesis signal quality was reduced on the high frequency component

Program Mikrokontroler Untuk Menampilkan Tingkat Ketegangan Otot

Program Mikrokontroler Untuk Menampilkan Tingkat Ketegangan Oto

Turnitin Pengkode Sinyal Suara Pada Laju 4 kbps : Menggunakan Model Sinusoida – Segmen Antar Puncak

Pengkode Sinyal Suara Pada Laju 4 kbps : Menggunakan Model Sinusoida – Segmen Antar Punca

NASA Space Engineering Research Center for VLSI System Design

This annual report outlines the activities of the past year at the NASA SERC on VLSI Design. Highlights for this year include the following: a significant breakthrough was achieved in utilizing commercial IC foundries for producing flight electronics; the first two flight qualified chips were designed, fabricated, and tested and are now being delivered into NASA flight systems; and a new technology transfer mechanism has been established to transfer VLSI advances into NASA and commercial systems