Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Speech processing
Investigating the Phonatory and Articulatory Features in Diagnosis of Parkinson's Disease using Optimized Extracted Features by Genetic Algorithm

Mohammad Bahador Najafi; Mansour Vali

Volume 14, Issue 2 , July 2020, , Pages 97-107

  After Alzheimer, Parkinson's disease is known as the most common malignant disease of the nervous system. One of the common obstacles of this disease is the expansion of speech disorders. Since the speech production in humans is made by combination of vibration of the vocal cords (phonatory section) ...  Read More

Speech processing
Optimal Feature Selection and Comparison for Automatic Detection of Parkinson's Disease Using Speech Signal

Hamid Azadi; Mohammad Ali Khalil Zade; Mohammad Reza Akbarzade Toutounchi; Hamid Reza Kobravi; Fariborz Rezaei Talab; Seyed Amir Ziafati Bagherzade; Alireza Noei Sarcheshme; Nina Shahsavan Pour

Volume 10, Issue 1 , May 2016, , Pages 41-47

  In recent years, researchers have tried hardly to diagnose Parkinson's disease through finding its relation with the patient's speech signal. Also, many studies have been performed on determining the intensity of the disease and its relation with vocal impairment measures. In this paper, we aim to assess ...  Read More

Speech processing
Study of VTLN Method to Recognize Common Speech Disorders in Speech-Therapy of Persian ‍Children

Shahla Azizi; Farzad Towhidkhah; Farshad Almasganj

Volume 6, Issue 4 , June 2012, , Pages 257-265

  In present work, recognition of isolated word has been studied. The purpose of this research is to increase the performance of children’s speech recognizer using Vocal Tract Length Normalization. This recognition system has been created to design a speech therapy software. Recognition of correct ...  Read More

Speech processing
Feature Extraction based on Linear Modeling of Embedded Speech Trajectory in the Reconstructed Phase Space for Speech Recognition System

Yaser Shekofteh; Farshad Almasganj

Volume 6, Issue 1 , June 2012, , Pages 17-33

  Recent researches show that nonlinear and chaotic behavior of the speech signal can be studied in the reconstructed phase space (RPS). Delay embedding theorem is a useful tool to study embedded speech trajectories in the RPS. Characteristics of the speech trajectories have rarely used in the practical ...  Read More

Speech processing
Detection of Hypernasal Speech for Children with Cleft Palate

Ehsan Akafi; Mansour Vali; Negin Moradi

Volume 6, Issue 3 , June 2012, , Pages 119-129

  Hypernasality is a frequently occurring resonance disorder in children with cleft palate. Generally an operation is necessary to reduce the hypernasality and therefore an assessment of hypernasality is imperative to quantify the effect of the surgery and design the speech therapy sessions which are crucial ...  Read More

Speech processing
A Novel Model for Investigation of the Jaw Movement During Speech

Ayoub Daliri; Farzad Towhidkhah; Shahriar Gharibzadeh; Yaser Shekofteh

Volume 2, Issue 2 , June 2008, , Pages 123-129

  Speech production is one of the most complicated physiological systems including different subsystems. These subsystems must work together in a synchronous manner. One of the important sub-systems is the jaw. Although different models have suggested for jaw, no suitable model has been proposed yet to ...  Read More

Speech processing
New Biologically Inspired Connectionist Approaches To Improve Machine Speech Recognition

Mohammad Reza Yazdchi; Seyed Ali Seyed Salehi

Volume 1, Issue 3 , June 2007, , Pages 201-213

  One of the most important challenges in automatic speech recognition is in the case of difference between the training and testing data. To decrease this difference, the conventional methods try to enhance the speech or use the statistical model adaptation. Training the model in different situations ...  Read More

Speech processing
Automatic Prosody Generation By Neural-Statistical Hybrid Model For Unit Selection Speech Synthesis

Mansour Sheykhan

Volume 1, Issue 3 , June 2007, , Pages 227-240

  In the first version of our Farsi Text-To-Speech (TTS) system, a Recurrent Neural Network (RNN) was used to generate prosody parameters (pitch contour, duration, energy and pause), and a Harmonic + Noise Model (HNM) speech synthesizer was used to concatenate the single units of diphones. To improve the ...  Read More