公开(公告)号：US20200286504A1

公开(公告)日：2020-09-10

申请号：US16296122

申请日：2019-03-07

Applicant: ADOBE INC.

Inventor： Prem Seetharaman ,  Gautham J. Mysore ,  Bryan A. Pardo

IPC: G10L25/60 ,  G10L25/30 ,  G10L25/84 ,  G10L21/0232

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for sound quality prediction and real-time feedback about sound quality, such as room acoustics quality and background noise. Audio data can be sampled from a live sound source and stored in an audio buffer. The audio data in the buffer is analyzed to calculate a stream of values of one or more sound quality measures, such as speech transmission index and signal-to-noise ratio. Speech transmission index can be calculated using a convolution neural network configured to predict speech transmission index from reverberant speech. The stream of values can be used to provide real-time feedback about sound quality of the audio data. For example, a visual indicator on a graphical user interface can be updated based on consistency of the values over time. The real-time feedback about sound quality can help users optimize their recording setup.

公开(公告)号：US11138989B2

公开(公告)日：2021-10-05

申请号：US16296122

申请日：2019-03-07

Applicant: ADOBE INC.

Inventor： Prem Seetharaman ,  Gautham J. Mysore ,  Bryan A. Pardo

IPC: G10L25/60 ,  G10L25/30 ,  G10L21/0232 ,  G10L25/84 ,  G10L21/0208

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for sound quality prediction and real-time feedback about sound quality, such as room acoustics quality and background noise. Audio data can be sampled from a live sound source and stored in an audio buffer. The audio data in the buffer is analyzed to calculate a stream of values of one or more sound quality measures, such as speech transmission index and signal-to-noise ratio. Speech transmission index can be calculated using a convolution neural network configured to predict speech transmission index from reverberant speech. The stream of values can be used to provide real-time feedback about sound quality of the audio data. For example, a visual indicator on a graphical user interface can be updated based on consistency of the values over time. The real-time feedback about sound quality can help users optimize their recording setup.