Sentence examples for speech recognition research from inspiring English sources

"The latest kid on the block is large data learning," said Raj Reddy, a pioneer in speech recognition research and a professor at Carnegie Mellon.

Speech feature extraction has been a key focus in robust speech recognition research.

Huang has worked with voice technologies for some time, having founded Microsoft's speech recognition research and development efforts in the early 1990s.

The main contribution of this work is to test abovementioned perceptual features, which are applied in speech recognition research but omitted in emotion recognition.

In recent years, deep learning has not only permeated the computer vision and speech recognition research fields but also fields such as acoustic event detection (AED).

Broad phonetic classes (BPC) have widely been used in speech recognition research as, for instance, automatic language identification[1]; speaking rate estimation[2]; multi lingual systems[3, 4] and, especially, in phone recognition[5 8].

Whether its provenance is academic or corporate, speech-recognition research is heavily dependent on the size of the data sample, or "corpus" — the sheer volume of speech you work with.

Since the start of developing speech recognizers at AT&T Bell labs in the 1950's, enormous efforts and investments were directed towards automatic speech recognition (ASR) research and development.

The aim of automatic speech recognition (ASR) research is to develop an intermediary system for the purpose of human speech transcription where the construction and block architecture is often customized.

It is admirable that the $7.5 million grant from the National Science Foundation will develop speech recognition to aid research.

Therefore, speech recognition is the research focus for decades.