Sentence examples for efficient speech from inspiring English sources

In this paper we present an efficient speech recognition approach for multitopic speech by combining information retrieval techniques and topic-based language modeling.

Many speech researchers would agree that there is still a significant potential in formulating an acoustic representation of the speech signal that will successfully maintain information needed for efficient speech recognition, especially in noise, while eliminating irrelevant speaker-dependent information [1].

In this article, we will take advantage of these speech characteristics to propose an efficient speech-in-speech hiding method.

The goal of this paper is the design of an energy-efficient speech enhancement algorithm with low computational cost for wireless-communicated binaural hearing aids.

True to form, she gave an earnest, efficient, plain speech to this Hollywood group before turning over the microphone.

From the results, we verify that the proposed algorithm is very efficient for speech input signal and has consistent performance to various types of input signals.

On the other hand, perceptual codecs have become useful in media coding applications, but are not as efficient for speech content.

For instance, a class of efficient parametric speech coders are based on the search for a sparse excitation sequence feeding the LP synthesizer [2].

Li et al. [12] combined the high order statistical (HOS) with the low band to full band energy ration (LFER) for efficient speech/non-speech segments.

We adopted the mel-scale to prevent being biased to any specific cases; this scale has been proven to be efficient in numerous speech signal-processing applications such as speech recognition and enhancement.

The predictive synthesis method in Eq. (9) is very efficient in the speech compression aspect because it requires a little information for restoring speech.