Sentence examples for fields of speech from inspiring English sources

Professor Julia Hirschberg: Computers Can Recognize Emotions in Human Speech Office of Public Affairs Julia Hirschberg, computer science professor and editor-in-chief of Computational Linguistics, focuses much of her research on the fields of speech summarization and emotional speech the ability for computers to recognize emotions in human speech.

The aim of this paper is to reveal links between the fields of speech enhancement and error concealment focusing on recursive MMSE estimation approaches.

There's a great deal of activity in the fields of speech recognition and the "Internet of Things," but one natural application of the two has gone relatively unpursued: helping the deaf and hard of hearing take part in everyday conversations.

It has been successfully applied to many fields of speech processing and recognition, such as spectral denoising[5], sparse exemplar-based representation for speech[19], and robust estimation of parameters for the SGMM[6] and DNN[7].

So, it looks like Google discovered DNNresearch through its award program and, seeing the implications that the team's work could have on the fields of speech recognition, language processing and image recognition — all central to its core products — decided that a grant wasn't enough.

The workshops also contribute to the pool of trained specialists in the fields of speech and natural language processing by providing immersive training to undergraduate and graduate students, allowing researchers from different backgrounds to learn from one another, and educating all workshop participants through guest lectures, participant seminars, and team research updates.

The information, published in Barnwell's dissertation, influenced the nascent field of speech synthesis.

In the field of speech recognition, two applications of MLPs have significantly improved large-vocabulary speech recognition accuracy.

His scholarly work has helped shape the field of speech and hearing, with numerous works including a notable treatise on phonetics, now in its third edition.

Pitch, duration, energy and Mel-frequency cepstral coefficients (MFCC) are the widely used features in the field of speech emotion recognition.

The methodology applied was similar to techniques used in the field of speech recognition, utilizing Vector quantization (VQ) or Gaussian mixture modeling (GMM).