Abstract: Audio enhancement of musical content is performed by a device coupled to a network. The device receives an audio signal to be transmitted over the network, and detects when musical content is present in the audio signal based on a content probability threshold. The device disables noise suppression for the audio signal and applies a linear filter to cancel echo for the audio signal. The device disables gain control for the audio signal and encodes the audio signal using a codec designed for music.

Abstract: Dynamic adjustment of audio characteristics for enhancing musical sound during a networked conference is disclosed. In an embodiment, a method is provided for sound enhancement performed by a device coupled to a network. The method includes receiving an audio signal to be transmitted over the network, detecting when musical content is present in the audio signal, processing the audio signal to enhance voice characteristics to generate an enhanced audio signal when the musical content is not detected, processing the audio signal to enhance music characteristic to generate the enhanced audio signal when the musical content is detected, and transmitting the enhanced audio signal over the network.

Abstract: Example methods and systems provide hybrid DSP-AI acoustic echo cancellation for virtual conferences. A digital signal processing (DSP)-based linear acoustic echo cancelation (AEC) can be performed on an input audio signal to filter out linear echo present in the input audio signal and generate a first filtered audio signal. A level of nonlinear echo present in the first filtered audio signal can then be determined. When the level of nonlinear echo satisfies a threshold, an artificial intelligence (AI)-based nonlinear AEC can be performed on the first filtered audio signal to generate an AI-filtered audio signal. When the level of nonlinear echo does not satisfy the threshold, a DSP-based nonlinear AEC can be performed on the first filtered audio signal to generate a second filtered audio signal.

Abstract: Various embodiments of an apparatus, method(s), system(s) and computer program product(s) described herein are directed to a Denoise Engine. The Denoise Engine collects segments of voice content of a first user account from audio data associated with a virtual meeting. The audio data further includes additional types of audio content. The Denoise Engine identifies an audio embedding model. The Denoise Engine receives a speaker embedding generated by the audio embedding model. The speaker embedding based on the collected segments of voice content. The Denoise Engine generates personalized denoised voice content of the first user account for the virtual meeting by applying the speaker embedding to the audio data associated with a virtual meeting.

Abstract: Online audio and video conference applications can utilize a noise removal module to eliminate unwanted audio from a participant’s speech. A noise removal module can rely on differentiating between human speech versus other audio to filter out noise. However, in some conference environments, participant and non-participant human speech can be present. Artificial intelligence models can be trained to detect both noise and non-participant audio, based on a variety of factors. The models can label captured audio and various noise removal modules can filter noise based on the output of the models.

Abstract: Methods and systems provide users of a communication platform with intelligent, real-time noise suppression for audio signals broadcasted in a communication session. The system receives an input audio signal from an audio capture device; processes the input audio signal to provide a second version of the audio signal with noise suppression based on DSP techniques; transmits the second version of the audio signal to a communication platform for real-time streaming; classifies, via a machine learning algorithm, whether the second version of the audio signal contains noise beyond a noise threshold; based on a classification that the second version of the audio signal contains noise beyond the noise threshold, processes the second version of the audio signal to provide a third version of the audio signal with noise suppression based on AI techniques; and transmits the third version of the audio signal to the communication platform.

Abstract: Dynamic adjustment of audio characteristics for enhancing musical sound during a networked conference is disclosed. In an embodiment, a method is provided for sound enhancement performed by a device coupled to a network. The method includes receiving an audio signal to be transmitted over the network, detecting when musical content is present in the audio signal, processing the audio signal to enhance voice characteristics to generate an enhanced audio signal when the musical content is not detected, processing the audio signal to enhance music characteristic to generate the enhanced audio signal when the musical content is detected, and transmitting the enhanced audio signal over the network.

Abstract: Methods and systems provide users of a communication platform with intelligent, real-time noise suppression for audio signals broadcasted in a communication session. The system receives an input audio signal from an audio capture device; processes the input audio signal to provide a second version of the audio signal with noise suppression based on DSP techniques; transmits the second version of the audio signal to a communication platform for real-time streaming; classifies, via a machine learning algorithm, whether the second version of the audio signal contains noise beyond a noise threshold; based on a classification that the second version of the audio signal contains noise beyond the noise threshold, processes the second version of the audio signal to provide a third version of the audio signal with noise suppression based on AI techniques; and transmits the third version of the audio signal to the communication platform.

Abstract: Methods and systems provide users of a communication platform with intelligent, real-time noise suppression for audio signals broadcasted in a communication session. The system receives an input audio signal from an audio capture device; processes the input audio signal to provide a second version of the audio signal with noise suppression based on DSP techniques; transmits the second version of the audio signal to a communication platform for real-time streaming; classifies, via a machine learning algorithm, whether the second version of the audio signal contains noise beyond a noise threshold; based on a classification that the second version of the audio signal contains noise beyond the noise threshold, processes the second version of the audio signal to provide a third version of the audio signal with noise suppression based on AI techniques; and transmits the third version of the audio signal to the communication platform.

Abstract: Dynamic adjustment of audio characteristics for enhancing musical sound during a networked conference is disclosed. In an embodiment, a method is provided for sound enhancement performed by a device coupled to a network. The method includes receiving an audio signal to be transmitted over the network, detecting when musical content is present in the audio signal, processing the audio signal to enhance voice characteristics to generate an enhanced audio signal when the musical content is not detected, processing the audio signal to enhance music characteristic to generate the enhanced audio signal when the musical content is detected, and transmitting the enhanced audio signal over the network.

Abstract: Dynamic adjustment of audio characteristics for enhancing musical sound during a networked conference is disclosed. In an embodiment, a method is provided for sound enhancement performed by a device coupled to a network. The method includes receiving an audio signal to be transmitted over the network, detecting when musical content is present in the audio signal, processing the audio signal to enhance voice characteristics to generate an enhanced audio signal when the musical content is not detected, processing the audio signal to enhance music characteristic to generate the enhanced audio signal when the musical content is detected, and transmitting the enhanced audio signal over the network.