Audio Anomaly Detection in a Speech Signal
Systems and methods for audio anomaly detection in a voice signal are provided. In some embodiments, a system comprises a voice history database storing historic audio metadata of past voice signals acquired during operation of a user audio device; a data clustering processor, connected to the voice history database and configured for cluster analysis of the historic audio metadata into a normal operation cluster and an anomalous operation cluster and to provide a user audio model therefrom; a voice model database, configured to receive and to store the user audio model; and a classification processor, connected with the voice model database. The classification processor may receive current audio metadata of the voice signal from the user audio device; compare the current audio metadata with the user audio model; and determine if the voice signal corresponds to a normal operating mode or an anomalous operating mode of the user audio device.
1 . A system for audio anomaly detection in a voice signal, comprising
A voice history database, which voice history database comprises historic audio metadata of one or more past voice signals, acquired during operation of a user audio device;
a data clustering processor, connected to the voice history database and configured for cluster analysis of the historic audio metadata into at least a normal operation cluster and an anomalous operation cluster and to provide a user audio model therefrom;
a voice model database, configured to receive and to store the user audio model; and
a classification processor, connected with the voice model database and configured to
receive current audio metadata of the voice signal from the user audio device;
compare the current audio metadata with the user audio model; and to determine therefrom, if the voice signal corresponds to a normal operating mode or an anomalous operating mode of the user audio device.
2 . The system of claim 1 , wherein the classification processor provides an anomalous operation indicator in case the anomalous operating mode is determined.
3 . The system of claim 1 , wherein the classification processor is configured to determine, if a predefined percentage of data points of the current audio metadata in a predefined time period are related to the anomalous operation cluster and in this case, determine, that the voice signal corresponds to the anomalous operating mode.
4 . The system of claim 1 , wherein the anomalous operating mode corresponds to one or more of an incorrect placement of a microphone of the user audio device, a defect of the user audio device, and an irregular background noise level, captured by the microphone of the user audio device.
5 . The system of claim 1 , wherein the data clustering processor is configured for cluster analysis using centroid-based clustering.
6 . The system of claim 1 , wherein the data clustering processor is configured for cluster analysis using K-means clustering.
7 . The system of claim 1 , wherein the historic audio metadata and the current audio metadata comprises sound pressure level information.
8 . The system of claim 1 , wherein the historic audio metadata and the current audio metadata comprises sound pressure level information of one or more of speech and noise.
9 . The system of claim 1 , wherein the historic audio metadata and the current audio metadata comprises a voice activity parameter.
10 . The system of claim 1 , wherein the voice history database is connectable to the user audio device to receive audio metadata and wherein the voice history database is configured to store the received audio metadata as historic audio metadata.
11 . The system of claim 1 , wherein the current audio metadata of the voice signal from the user audio device is additionally provided to the voice history database to update the historic audio metadata.
12 . The system of claim 1 , wherein the data clustering processor is configured for repeated cluster analysis of the historic audio metadata and to provide an updated user audio model therefrom.
13 . The system of claim 1 , wherein the determination of the classification processor comprises determining a distance of the current audio metadata to the normal operation cluster and the anomalous operation cluster.
14 . The system of claim 1 , wherein the voice history database comprises historic audio metadata of one or more past voice signals, acquired during operation of at least a first user audio device and a second user audio device.
15 . The system of claim 14 , wherein the data clustering processor is configured for cluster analysis of the historic audio metadata of the first user audio device and the second user audio device.
16 . The system of claim 15 , wherein the data clustering processor is configured to provide separate user audio models for each of the first user audio device and the second user audio device.
17 . The system of claim 1 , wherein the user audio device is one or more of a headset, desk a phone, or a personal communication device.
18 . A data clustering processor for use in a system for audio anomaly detection in a voice signal, which data clustering processor is connected to a voice history database having historic audio metadata; the data clustering processor being configured for cluster analysis of the historic audio metadata into at least a normal operation cluster and an anomalous operation cluster and to provide a user audio model therefrom.
19 . A classification processor for use in a system for audio anomaly detection in a voice signal, configured to
receive a user audio model and current audio metadata of the voice signal from a user audio device;
compare the current audio metadata with the user audio model; and to
determine therefrom, if the voice signal corresponds to a normal operating mode or an anomalous operating mode of the user audio device.
20 . A method of audio anomaly detection in a voice signal, comprising
receiving a user audio model and current audio metadata of the voice signal;
comparing the current audio metadata with the user audio model; and to determine therefrom, if the voice signal corresponds to a normal operating mode or an anomalous operating mode of the user audio device.
21 . A non-transitory computer-readable medium including contents that are configured to cause a processing device to conduct the method of claim 20 .
22 . A method of generating a user audio model for use in a system for audio anomaly detection in a voice signal, comprising
conducting cluster analysis of historic audio metadata of one or more past voice signals, acquired during operation of a user audio device, into at least a normal operation cluster and an anomalous operation cluster, and
generating a user audio model therefrom.
23 . A non-transitory computer-readable medium including contents that are configured to cause a processing device to conduct the method of claim 22 .