BACKGROUND 0002 Many mobile devices include a microphone, such that the device can
receive Voice signals from a user. The Voice signals may be processed in an attempt to …

Respective word frequencies may be determined from a cor pus of utterance-to-text-string
map**s that contain associa tions between audio utterances and a respective text string …

Implementations and applications are disclosed for detection of a transition in a voice activity
state of an audio signal, based on a change in energy that is consistent in time across a …

Volume leveler controller and controlling method are disclosed. In one embodiment, A
volume leveler controller includes an audio content classifier for identifying the content type …

Abstract Systems and methods of a security system are provided, including detecting, by a
sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a …

In one embodiment, the system and method for expressive language development; a
method for detecting autism in a natural language environment using a microphone, Sound …

Automatic speech recognition (ASR) may be performed on received utterances. The ASR
may be performed by an ASR module of a computing device (eg, a client device). The ASR …

In one embodiment, a method for detecting autism in a natural language environment using
a microphone, sound recorder, and a computer programmed with software for the …

Apparatus and methods for audio classifying and processing are disclosed. In one
embodiment, an audio processing apparatus includes an audio classifier for classifying an …

The present invention discloses an apparatus for automatic extraction of important events in
audio signals comprising: signal input means for Supplying audio signals; audio signal …