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Patent

Voice Recognition Accuracy in High Noise Conditions

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TLDR
In this paper, the authors used adaptive thresholds to determine the presence of speech and to generate noise-dependent triggers for indicating the presence or absence of speech during high-noise conditions.
Abstract
Systems and methods for voice recognition determine energy levels for speech and noise and generate adaptive thresholds based on the determined energy levels. The adaptive thresholds are applied to determine the presence of speech and to generate noise-dependent triggers for indicating the presence of speech during high-noise conditions. In an embodiment, the signal energy is averaged in the presence of speech and in the presence of background noise. Audio energy calculations may be made by averaging via a sliding window or via a memory filter.

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References
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Patent

Systems and methods for audio signal processing

TL;DR: In this article, a method for signal level matching by an electronic device is described, which includes capturing a plurality of audio signals from multiple microphones and determining a difference signal based on an inter-microphone subtraction.
Patent

Method for the detection of speech segments

TL;DR: In this article, a method for the detection of noise and speech segments in a digital audio input signal is proposed, in which the input signal being divided into a plurality of frames comprising: - a first stage (10), in which a first classification of a frame as noise is performed if the mean energy value for this frame and the previous N frames is not greater than a first energy threshold, N>1; - a second stage (20) in which for each frame that has not been classified as noise in the first stage, it is decided if said frame is classified as
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Speech processing device, speech processing method, and speech processing program

TL;DR: In this paper, a speech processing device includes a reverberation characteristic selection unit configured to correlate correction data indicating a contribution of reverberation component based on a corresponding reverberation characteristics with an adaptive acoustic model which is trained using reverbed speech, to calculate likelihoods based on the adaptive acoustic models for a recorded speech, and to select correction data corresponding to the model having the calculated highest likelihood.
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Partially filling mixed-initiative forms from utterances having sub-threshold confidence scores based upon word-level confidence data

TL;DR: In this article, a single spoken utterance including content for multiple elements can be received, where each element is mapped to a data field and utterance level confidence score can be determined, which can fall below an associated certainty threshold.
PatentDOI

Method of detecting the presence of speech in a telephone signal and speech detector implementing said method

TL;DR: In a method of detecting the presence of speech in a telephone signal, a signal sequence is interpreted as constituting speech if its mean power level exceeds a threshold, the value of which is decreased as the number of passages through zero level in the sequence approaches 1.25 per millisecond.