سنجش از دور علم دریافت اطلاعات سطح زمین، بدون تماس آشکار با اجزای مورد مطالعه است. تجاری‌‌سازی مجموعة فعالیت‌هایی است که نوآوری‌‌ها را به محصول یا خدماتی تبدیل می‌کند آن مزایای اقتصادی حاصل می‌شود. توجه کاربرد گستردة و اهمیت فراوان در کشاورزی، تجاری‌سازی این تکنولوژی کشاورزی دارای اولویت پژوهش، بررسی شده جامعة هدف شرکت‌های فعال غیرفعال زمینه‌‌اند؛ دلیل استفاده تجربیاتشان امکان فراهم‌آوردن زمینة...

Speaker Adaptation is a technique which is used to improve the recognition accuracy of Automatic Speech Recognition (ASR) systems. Here, we report a study of the impact of online speaker adaptation on the performance of a speaker independent, continuous speech recognition system for Hindi language. The speaker adaptation is performed using the Maximum Likelihood Linear Regression (MLLR) transfo...

BACKGROUND Studies that explore the controversial association between parity and anaemia-in-pregnancy (AIP) were often hampered by not distinguishing incident cases caused by pregnancy from prevalent cases complicated by pregnancy. The authors' aim in conducting this study was to overcome this methodological concern. METHODS A retrospective cohort study was conducted in Oman on 1939 pregnanci...

It is common to use a single speaker independent large Gaussian Mixture Model based Universal Background Model (GMMUBM) as the alternative hypothesis for speaker verification tasks. The speaker models are themselves derived from the UBM using Maximum a Posteriori (MAP) adaptation technique. During verification, log likelihood ratio is calculated between the target model and the GMM-UBM to accep...

Full covariance models can give better results for speech recognition than diagonal models, yet they introduce complications for standard speaker adaptation techniques such as MLLR and fMLLR. Here we introduce efficient update methods to train adaptation matrices for the full covariance case. We also experiment with a simplified technique in which we pretend that the full covariance Gaussians a...

Gaussian mixture models are the most popular probability density used in automatic speech recognition. During decoding, often many Gaussians are evaluated. Only a small number of Gaussians contributes significantly to probability. Several promising methods to select relevant Gaussians are known. These methods have different properties in terms of required memory, overhead and quality of selecte...

امروزه توسعه سیستم‌های کارآمد و اثربخش بهداشت درمان به یکی از نگرانی‌های اصلی دولت‌ها تصمیم‌گیرندگان تبدیل شده است. تأمین به‌موقع دارو کارایی سیستم موجودی توزیع، نقشی حیاتی در زنجیره بیمارستانی دارند برای افزایش این فعالیت‌ها، فرآیند تصمیم‌گیری مناسب مدیریت ضروری نظر می‌رسد. پژوهش یک مدل دوهدفه به‌صورت برنامه‌ریزی خطی عدد صحیح مختلط جریان اطلاعات ارائه اهداف حداقل­کردن هزینه‌های خرید، نگهداری، ...

Automatic recognition of conversational speech tends to have higher word error rates (WER) than read speech. Improvements gained from unsupervised speaker adaptation methods like Maximum Likelihood Linear Regression (MLLR) [1] are reduced because of their sensitivity to recognition errors in the first pass. We show that a more detailed modeling of adaptation classes and the use of confidence me...

Full covariance models can give better results for speech recognition than diagonal models, yet they introduce complications for standard speaker adaptation techniques such as MLLR and fMLLR. Here we introduce efficient update methods to train adaptation matrices for the full covariance case. We also experiment with a simplified technique in which we pretend that the full covariance Gaussians a...