Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: Provided are a cloud platform-based comprehensive line network monitoring method and system. Device state data of each line is acquired, and stored in a monitoring platform and a data platform that are built on a cloud platform. The monitoring platform can only store only the latest device state data, perform data monitoring processing on the device state data to obtain real-time monitoring data, and transmit corresponding real-time monitoring data to a client at an application layer based on a data subscription demand of the client, to allow the client to perform real-time device monitoring processing based on the real-time monitoring data. Also, the data platform can provide, in response to a historical data application request sent by the client, the device state data to the client as historical statistical analysis data, to allow the client to perform historical state monitoring processing based on the historical statistical analysis data.

Abstract: Provided are a cloud platform-based comprehensive line network monitoring method and system. Device state data of each line is acquired, and stored in a monitoring platform and a data platform that are built on a cloud platform. The monitoring platform can only store only the latest device state data, perform data monitoring processing on the device state data to obtain real-time monitoring data, and transmit corresponding real-time monitoring data to a client at an application layer based on a data subscription demand of the client, to allow the client to perform real-time device monitoring processing based on the real-time monitoring data. Also, the data platform can provide, in response to a historical data application request sent by the client, the device state data to the client as historical statistical analysis data, to allow the client to perform historical state monitoring processing based on the historical statistical analysis data.

Abstract: The disclosure herein describes using a transcript generation model for generating a transcript from a multi-speaker audio stream. Audio data including overlapping speech of a plurality of speakers is obtained and a set of frame embeddings are generated from audio data frames of the obtained audio data using an audio data encoder. A set of words and channel change (CC) symbols are generated from the set of frame embeddings using a transcript generation model. The CC symbols are included between pairs of adjacent words that are spoken by different people at the same time. The set of words and CC symbols are transformed into a plurality of transcript lines, wherein words of the set of words are sorted into transcript lines based on the CC symbols, and a multi-speaker transcript is generated based on the plurality of transcript lines. The inclusion of CC symbols by the model enables efficient, accurate multi-speaker transcription.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: A system and method include reception of a first plurality of audio signals, generation of a second plurality of beamformed audio signals based on the first plurality of audio signals, each of the second plurality of beamformed audio signals associated with a respective one of a second plurality of beamformer directions, generation of a first TF mask for a first output channel based on the first plurality of audio signals, determination of a first beamformer direction associated with a first target sound source based on the first TF mask, generation of first features based on the first beamformer direction and the first plurality of audio signals, determination of a second TF mask based on the first features, and application of the second TF mask to one of the second plurality of beamformed audio signals associated with the first beamformer direction.

Abstract: Disclosed is a multi-stage sedimentation rake-free thickening device. The device includes a central tank. A diversion sedimentation zone is arranged on the outside of the center tank. The diversion sedimentation zone includes an annular diversion sedimentation screen and a concentrated magnetic shower. The annular diversion sedimentation screen includes an annular groove spirally arranged around a central groove body. The annular groove is sequentially arranged with second spoiler baffles along the length direction. The lower bottom plate of the annular groove is also provided with second underflow discharge port. Multiple second inclined plate diversion discharge pipe is arranged under the corresponding second underflow discharge ports. The outlets of all the second inclined plate guide discharge pipes are collected to the second underflow discharge pipe, and the settled water is discharged from the second overflow discharge pipe arranged at the end of the annular groove.

Abstract: Computing devices and methods utilizing a joint speaker location/speaker identification neural network are provided. In one example a computing device receives an audio signal of utterances spoken by multiple persons. Magnitude and phase information features are extracted from the signal and inputted into a joint speaker location and speaker identification neural network. The neural network utilizes both the magnitude and phase information features to determine a change in the person speaking. Output comprising the determination of the change is received from the neural network. The output is then used to perform a speaker recognition function, speaker location function, or both.

Abstract: Examples are disclosed that relate to voice identification enrollment. One example provides a method of voice identification enrollment comprising, during a meeting in which two or more human speakers speak at different times, determining whether one or more conditions of a protocol for sampling meeting audio used to establish human speaker voiceprints are satisfied, and in response to determining that the one or more conditions are satisfied, selecting a sample of meeting audio according to the protocol, the sample representing an utterance made by one of the human speakers. The method further comprises establishing, based at least on the sample, a voiceprint of the human speaker.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: Disclosed is a multi-stage sedimentation rake-free thickening device. The device includes a central tank. A diversion sedimentation zone is arranged on the outside of the center tank. The diversion sedimentation zone includes an annular diversion sedimentation screen and a concentrated magnetic shower. The annular diversion sedimentation screen includes an annular groove spirally arranged around a central groove body. The annular groove is sequentially arranged with second spoiler baffles along the length direction. The lower bottom plate of the annular groove is also provided with second underflow discharge port. Multiple second inclined plate diversion discharge pipe is arranged under the corresponding second underflow discharge ports. The outlets of all the second inclined plate guide discharge pipes are collected to the second underflow discharge pipe, and the settled water is discharged from the second overflow discharge pipe arranged at the end of the annular groove.

Abstract: Disclosed is a reverse flow multi-stage sedimentation rake-free thickening device relating to the field of slime water treatment. The device includes a feed assembly, a guide assembly, and a clean coal collection assembly. The guide assembly also includes a central tank body and coal slurry flows from the upper part of the central tank body to the inner side wall of the central tank body through the feed assembly and the medicament, and then flows to the middle of the central tank body through the guide assembly. After the reaction, the bubbles carry the fine coal slime and move up to the clean coal collection assembly. The clean coal collection assembly is located above the outlet of the guide assembly, and the clean coal collection assembly is sequentially provided with a central collection area, a defoaming area, and a diversion settlement area from the middle to the outside.

Abstract: This document relates to separation of audio signals into speaker-specific signals. One example obtains features reflecting mixed speech signals captured by multiple microphones. The features can be input a neural network and masks can be obtained from the neural network. The masks can be applied one or more of the mixed speech signals captured by one or more of the microphones to obtain two or more separate speaker-specific speech signals, which can then be output.

Abstract: A system and method include reception of a first plurality of audio signals, generation of a second plurality of beamformed audio signals based on the first plurality of audio signals, each of the second plurality of beamformed audio signals associated with a respective one of a second plurality of beamformer directions, generation of a first TF mask for a first output channel based on the first plurality of audio signals, determination of a first beamformer direction associated with a first target sound source based on the first TF mask, generation of first features based on the first beamformer direction and the first plurality of audio signals, determination of a second TF mask based on the first features, and application of the second TF mask to one of the second plurality of beamformed audio signals associated with the first beamformer direction.

Abstract: Disclosed is a reverse flow multi-stage sedimentation rake-free thickening device relating to the field of slime water treatment. The device includes a feed assembly, a guide assembly, and a clean coal collection assembly. The guide assembly also includes a central tank body and coal slurry flows from the upper part of the central tank body to the inner side wall of the central tank body through the feed assembly and the medicament, and then flows to the middle of the central tank body through the guide assembly. After the reaction, the bubbles carry the fine coal slime and move up to the clean coal collection assembly. The clean coal collection assembly is located above the outlet of the guide assembly, and the clean coal collection assembly is sequentially provided with a central collection area, a defoaming area, and a diversion settlement area from the middle to the outside.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: Systems and methods for tuning and/or calibrating a charged particle beam apparatus are disclosed. According to certain embodiments, a reference specimen comprises a substrate having a plurality of first objects at a first pitch, and a plurality of second objects at a second pitch. Regions containing the first and second objects may overlap. A method of tuning and/or calibrating may comprise analyzing an image of a sample at a plurality of coarseness levels, determining whether a parameter of the image satisfies a criteria based on measured characteristics of the image at the coarseness levels, and adjusting the parameter.

Abstract: A system and method include reception of a first plurality of audio signals, generation of a second plurality of beamformed audio signals based on the first plurality of audio signals, each of the second plurality of beamformed audio signals associated with a respective one of a second plurality of beamformer directions, generation of a first TF mask for a first output channel based on the first plurality of audio signals, determination of a first beamformer direction associated with a first target sound source based on the first TF mask, generation of first features based on the first beamformer direction and the first plurality of audio signals, determination of a second TF mask based on the first features, and application of the second TF mask to one of the second plurality of beamformed audio signals associated with the first beamformer direction.

Abstract: Multi-modal speech localization is achieved using image data captured by one or more cameras, and audio data captured by a microphone array. Audio data captured by each microphone of the array is transformed to obtain a frequency domain representation that is discretized in a plurality of frequency intervals. Image data captured by each camera is used to determine a positioning of each human face. Input data is provided to a previously-trained, audio source localization classifier, including: the frequency domain representation of the audio data captured by each microphone, and the positioning of each human face captured by each camera in which the positioning of each human face represents a candidate audio source. An identified audio source is indicated by the classifier based on the input data that is estimated to be the human face from which the audio data originated.

Abstract: Representative embodiments disclose mechanisms to separate and recognize multiple audio sources (e.g., picking out individual speakers) in an environment where they overlap and interfere with each other. The architecture uses a microphone array to spatially separate out the audio signals. The spatially filtered signals are then input into a plurality of separators, so each signal is input into a corresponding signal. The separators use neural networks to separate out audio sources. The separators typically produce multiple output signals for the single input signals. A post selection processor then assesses the separator outputs to pick the signals with the highest quality output. These signals can be used in a variety of systems such as speech recognition, meeting transcription and enhancement, hearing aids, music information retrieval, speech enhancement and so forth.