Abstract: Disclosed herein is a method for facilitating classification of labelled data. Accordingly, the method may include receiving, using a communication device, a tabulated value file from a device, analyzing, using a processing device, the tabulated value file, determining, using the processing device, a complexity of the labelled data of the tabulated value file with respect to machine learning methods used for generating a machine learning model for classifying the labelled data based on the analyzing, identifying, using the processing device, a machine learning method of the machine learning methods based on the determining, configuring, using the processing device, a topology of a machine learning model associated with the machine learning method based on the identifying, training, using the processing device, a parameter of the machine learning model based on the configuring, generating, using the processing device, an executable classifier, and storing, using a storage device, the executable classifier.

Abstract: Disclosed is a method of facilitating construction of a voice dialog interface for an electronic system. The method includes providing a library of programming interfaces configured to specify one or more of a call-sign and at least one command. Each of the call-sign and the at least one command may be specified in textual form. Additionally, the method includes training a speech recognizer based on one or more of the call-sign and the at least one command. Further, the method may include recognizing, using the speech recognizer, a speech input including a vocal representation of one or more of the call-sign and the at least one command. Additionally, the method includes performing at least one action associated with the at least one command based on recognizing the speech input. Further, the at least one action may include providing a verbal response using an integrated speech synthesizer.

Abstract: Disclosed is a method of facilitating construction of a voice dialog interface for an electronic system. The method includes providing a library of programming interfaces configured to specify one or more of a call-sign and at least one command. Each of the call-sign and the at least one command may be specified in textual form. Additionally, the method includes training a speech recognizer based on one or more of the call-sign and the at least one command. Further, the method may include recognizing, using the speech recognizer, a speech input including a vocal representation of one or more of the call-sign and the at least one command. Additionally, the method includes performing at least one action associated with the at least one command based on recognizing the speech input. Further, the at least one action may include providing a verbal response using an integrated speech synthesizer.

Abstract: Analysis of the audio component in multimedia data is disclosed. Rooms can be described through room impulse responses (RIR), the “fingerprint” of a specific room. The method uses machine learning techniques to identify rooms from ordinary audio recordings.

Abstract: Analysis of the audio component in multimedia data is disclosed. Rooms can be described through room impulse responses (RIR), the “fingerprint” of a specific room. The method uses machine learning techniques to identify rooms from ordinary audio recordings.