Speech Recognition Using the Mellin Transform

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(as of Dec 28,2024 04:36:43 UTC – Details)

Publisher ‏ : ‎ CreateSpace Independent Publishing Platform (October 26, 2014)
Language ‏ : ‎ English
Paperback ‏ : ‎ 54 pages
ISBN-10 ‏ : ‎ 1502959437
ISBN-13 ‏ : ‎ 978-1502959430
Item Weight ‏ : ‎ 5.3 ounces
Dimensions ‏ : ‎ 8.5 x 0.13 x 11 inches

Speech recognition is a fascinating field of technology that allows computers to understand and transcribe human speech. One approach to speech recognition involves the use of the Mellin transform, a mathematical operation that can be used to analyze and process signals in the frequency domain.

The Mellin transform is particularly useful for speech recognition because it can help identify and extract important features from speech signals, such as pitch, rhythm, and timbre. By applying the Mellin transform to speech signals, researchers can analyze the frequency content of the signal and extract relevant information that can be used for recognition purposes.

One of the key advantages of using the Mellin transform for speech recognition is its ability to handle non-stationary signals, which are common in speech. The Mellin transform is able to capture the dynamic nature of speech signals and extract meaningful features that can be used for recognition.

Overall, the Mellin transform offers a powerful tool for speech recognition, allowing researchers to extract important features from speech signals and improve the accuracy and efficiency of speech recognition systems. As research in this area continues to advance, we can expect to see even more sophisticated and accurate speech recognition systems that leverage the power of the Mellin transform.
#Speech #Recognition #Mellin #Transform