Statistical Methods for Speech Recognition (Language, Speech, and Communication)

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Publisher ‏ : ‎ Bradford Books; Fourth Printing edition (January 16, 1998)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 305 pages
ISBN-10 ‏ : ‎ 0262100665
ISBN-13 ‏ : ‎ 978-0262100663
Item Weight ‏ : ‎ 1.4 pounds
Dimensions ‏ : ‎ 6.25 x 0.88 x 9.25 inches

Statistical Methods for Speech Recognition (Language, Speech, and Communication)

Speech recognition is a rapidly growing field with applications in various industries such as healthcare, telecommunications, and automotive. Statistical methods play a crucial role in improving the accuracy and efficiency of speech recognition systems.

In this post, we will explore the different statistical methods used in speech recognition and how they contribute to the overall performance of the system. We will discuss techniques such as Hidden Markov Models (HMMs), Gaussian Mixture Models (GMMs), and neural networks, and their applications in speech recognition.

Additionally, we will delve into the challenges faced in speech recognition, such as background noise, accent variations, and speaker variability, and how statistical methods can be used to address these challenges.

Overall, statistical methods play a vital role in advancing speech recognition technology and improving its accuracy and performance. Stay tuned to learn more about the latest developments in this exciting field!
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