Abstract: A sound quality metric may be determined at a near-end telephone system, the sound quality metric associated with far-end sound quality received at a far-end telephone system. A signal adjustment may be determined, based on the sound quality metric. The signal adjustment may thus be provided at an earpiece of the near-end telephone system. In this way, a user of the near-end telephone system may be alerted that the sound quality of a far-end user is unacceptably low, so that the near-end user may take corrective action at the near end to improve the far-end sound quality.

Abstract: A sound quality metric may be determined at a near-end telephone system, the sound quality metric associated with far-end sound quality received at a far-end telephone system. A signal adjustment may be determined, based on the sound quality metric. The signal adjustment may thus be provided at an earpiece of the near-end telephone system. In this way, a user of the near-end telephone system may be alerted that the sound quality of a far-end user is unacceptably low, so that the near-end user may take corrective action at the near end to improve the far-end sound quality.

Abstract: There is provided a method of quantifying a voice quality in a telecommunication system including a first gateway in communication with a second gateway over a packet network. The method comprises deriving speech parameters from a first speech signal of a first talker received by the first gateway over a first communication line and a second speech signal of a second talker received by the first gateway from the second gateway over the packet network, determining a conversational impairment index using the speech parameters, deriving technology parameters based on voice technology and components in the telecommunication system, determining a technology impairment index using the technology parameters, and mapping the conversational impairment index and the technology impairment index into a conversational quality index to quantify the voice quality in the telecommunication system.

Abstract: A signal identification method comprises receiving an incoming signal having incoming frames; receiving an outgoing signal having outgoing frames; extracting outgoing features from a current frame of the outgoing frames; extracting incoming features from a first previous frame of the incoming frames; calculating first feature distances based on corresponding outgoing features and incoming features; deriving a first score based on the first feature distances; extracting incoming features from a second previous frame of the incoming frames; calculating second feature distances based on corresponding outgoing features and incoming features from the second previous frame; deriving a second score based on the second feature distances; and determining whether the outgoing signal includes the incoming signal based on the first score and the second score.

Abstract: Various embodiments are disclosed relating to sound enhancement for wireless audio devices. A technique may include determining one or more user-specific audio processing parameters, receiving an RF signal from a first wireless device, demodulating the received RF signal to obtain an audio signal, processing the audio signal based on the one or more user-specific audio processing parameters to generate a user-specific audio signal. The user-specific audio processing parameters may be based on user preferences, or may, for example be based on a user auditory profile or other information to allow a received audio signal to be processed to at least partially compensate for a user's specific hearing impairment.

Abstract: A sound quality metric may be determined at a near-end telephone system, the sound quality metric associated with far-end sound quality received at a far-end telephone system. A signal adjustment may be determined, based on the sound quality metric. The signal adjustment may thus be provided at an earpiece of the near-end telephone system. In this way, a user of the near-end telephone system may be alerted that the sound quality of a far-end user is unacceptably low, so that the near-end user may take corrective action at the near end to improve the far-end sound quality.

Abstract: Various embodiments are disclosed relating to the automatic tuning of telephony devices. An example method comprises, determining, based on a change in an operating environment of a telephony device, that a speech enhancement algorithm of the telephony device is to be tuned. The example method further comprises, determining one or more metrics based on operation of the telephony device in the changed operating environment and providing the one or more metrics to the speech enhancement algorithm In the example method, the speech enhancement algorithm is tunable based on the one or more metrics. The example method still further comprises, tuning the speech enhancement algorithm based on the one or more metrics.

Abstract: Methods and apparatus for noise suppression and echo cancellation are disclosed. An example embodiment of a method for noise suppression and echo cancellation includes monitoring an audio channel in a telephony device and determining, as a result of the monitoring, whether an active voice channel is established in the audio channel. The example method also includes, in the event the active voice channel is not established in the audio channel, calibrating at least one of a noise suppression module of the telephony device and an echo cancellation module of the telephony device.

Abstract: Various embodiments are disclosed relating to sound enhancement for wireless audio devices. A technique may include determining one or more user-specific audio processing parameters, receiving an RF signal from a first wireless device, demodulating the received RF signal to obtain an audio signal, processing the audio signal based on the one or more user-specific audio processing parameters to generate a user-specific audio signal. The user-specific audio processing parameters may be based on user preferences, or may, for example be based on a user auditory profile or other information to allow a received audio signal to be processed to at least partially compensate for a user's specific hearing impairment.