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.