Patent application number | Description | Published |
20090144062 | Method and Apparatus to Facilitate Provision and Use of an Energy Value to Determine a Spectral Envelope Shape for Out-of-Signal Bandwidth Content - One provides ( | 06-04-2009 |
20090198498 | Method and Apparatus for Estimating High-Band Energy in a Bandwidth Extension System | 08-06-2009 |
20090201983 | METHOD AND APPARATUS FOR ESTIMATING HIGH-BAND ENERGY IN A BANDWIDTH EXTENSION SYSTEM | 08-13-2009 |
20100049342 | Method and Apparatus to Facilitate Determining Signal Bounding Frequencies - A signal processing platform ( | 02-25-2010 |
20100286980 | METHOD AND APPARATUS FOR SPEECH CODING - A method and apparatus for prediction in a speech-coding system extends a 1 | 11-11-2010 |
20110112844 | METHOD AND APPARATUS FOR ESTIMATING HIGH-BAND ENERGY IN A BANDWIDTH EXTENSION SYSTEM | 05-12-2011 |
20110112845 | METHOD AND APPARATUS FOR ESTIMATING HIGH-BAND ENERGY IN A BANDWIDTH EXTENSION SYSTEM | 05-12-2011 |
20140270249 | Method and Apparatus for Estimating Variability of Background Noise for Noise Suppression - An electronic device measures noise variability of background noise present in a sampled audio signal, and determines whether the measured noise variability is higher than a high threshold value or lower than a low threshold value. If the noise variability is determined to be higher than the high threshold value, the device categorizes the background noise as having a high degree of variability. If the noise variability is determined to be lower than the low threshold value, the device categorizes the background noise as having a low degree of variability. The high and low threshold values are between a high boundary point and a low boundary point. The high boundary point is based on an analysis of files including noises that exhibit a high degree of variability, and the low boundary point is based on an analysis of files including noises that exhibit a low degree of variability. | 09-18-2014 |
20140278392 | Method and Apparatus for Pre-Processing Audio Signals - The disclosure is directed to pre-processing audio signals. In one implementation, an electronic device receives an audio signal that has audio information, obtains auxiliary information (such as location, velocity, direction, light, proximity of objects, and temperature), and determines, based on the audio information and the auxiliary information, a type of audio environment in which the electronic device is operating. The device selects an audio pre-processing procedure based on the determined audio environment type and pre-processes the audio signal according to the selected pre-processing procedure. The device may then perform speech recognition on the pre-processed audio signal. | 09-18-2014 |
20140278393 | Apparatus and Method for Power Efficient Signal Conditioning for a Voice Recognition System - A disclosed method includes monitoring an audio signal energy level while having a plurality of signal processing components deactivated and activating at least one signal processing component in response to a detected change in the audio signal energy level. The method may include activating and running a voice activity detector on the audio signal in response to the detected change where the voice activity detector is the at least one signal processing component. The method may further include activating and running the noise suppressor only if a noise estimator determines that noise suppression is required. The method may activate and runs a noise type classifier to determine the noise type based on information received from the noise estimator and may select a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient. | 09-18-2014 |
20150032451 | Method and Device for Voice Recognition Training - A method on a mobile device for voice recognition training is described. A voice training mode is entered. A voice training sample for a user of the mobile device is recorded. The voice training mode is interrupted to enter a noise indicator mode based on a sample background noise level for the voice training sample and a sample background noise type for the voice training sample. The voice training mode is returned to from the noise indicator mode when the user provides a continuation input that indicates a current background noise level meets an indicator threshold value. | 01-29-2015 |
20150039310 | Method and Apparatus for Mitigating False Accepts of Trigger Phrases - An electronic device includes a microphone that receives an audio signal, and a processor that is electrically coupled to the microphone. The processor detects a trigger phrase in the received audio signal and measure characteristics of the detected trigger phrase. Based on the measured characteristics of the detected trigger phrase, the processor determines whether the detected trigger phrase is valid. | 02-05-2015 |
20150039311 | Method and Apparatus for Evaluating Trigger Phrase Enrollment - An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training. | 02-05-2015 |