A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

A method includes receiving acoustic features of a first utterance spoken by a first user that speaks with typical speech and processing the acoustic features of the first utterance using a general speech recognizer to generate a first transcription of the first utterance. The operations also include analyzing the first transcription of the first utterance to identify one or more bias terms in the first transcription and biasing the alternative speech recognizer on the one or more bias terms identified in the first transcription. The operations also include receiving acoustic features of a second utterance spoken by a second user that speaks with atypical speech and processing, using the alternative speech recognizer biased on the one or more terms identified in the first transcription, the acoustic features of the second utterance to generate a second transcription of the second utterance.

A method includes receiving acoustic features of a first utterance spoken by a first user that speaks with typical speech and processing the acoustic features of the first utterance using a general speech recognizer to generate a first transcription of the first utterance. The operations also include analyzing the first transcription of the first utterance to identify one or more bias terms in the first transcription and biasing the alternative speech recognizer on the one or more bias terms identified in the first transcription. The operations also include receiving acoustic features of a second utterance spoken by a second user that speaks with atypical speech and processing, using the alternative speech recognizer biased on the one or more terms identified in the first transcription, the acoustic features of the second utterance to generate a second transcription of the second utterance.

The disclosure provides a method for locating a video playing node, and relates to fields of big data and video processing. The method includes: selecting a target video out from a plurality of videos; and sending the target video, a plurality of subtitle text segments of the target video and start time information of each of the plurality of subtitle text segments to a client, to cause the client to display the plurality of subtitle text segments, and determine, in response to a trigger operation on an any subtitle text segment of the plurality of subtitle text segments, a start playing node of the target video based on the start time information of the any subtitle text segment. The disclosure further provides an apparatus for locating a video playing node, an electronic device and a storage medium.

The disclosure provides a method for locating a video playing node, and relates to fields of big data and video processing. The method includes: selecting a target video out from a plurality of videos; and sending the target video, a plurality of subtitle text segments of the target video and start time information of each of the plurality of subtitle text segments to a client, to cause the client to display the plurality of subtitle text segments, and determine, in response to a trigger operation on an any subtitle text segment of the plurality of subtitle text segments, a start playing node of the target video based on the start time information of the any subtitle text segment. The disclosure further provides an apparatus for locating a video playing node, an electronic device and a storage medium.

Disclosed is an electronic apparatus. The electronic apparatus includes a first communicator, a second communicator; and a processor configured to determine whether or not an external electronic apparatus outputting input speech is connectable to a network connectable through the first communicator, based on the input speech, and to transmit a signal for controlling the external electronic apparatus to the external electronic apparatus through the first communicator or the second communicator depending on whether or not the external electronic apparatus is connectable to the network.

Disclosed is an electronic apparatus. The electronic apparatus includes a first communicator, a second communicator; and a processor configured to determine whether or not an external electronic apparatus outputting input speech is connectable to a network connectable through the first communicator, based on the input speech, and to transmit a signal for controlling the external electronic apparatus to the external electronic apparatus through the first communicator or the second communicator depending on whether or not the external electronic apparatus is connectable to the network.

The present disclosure relates to a method and a device for recognizing speech in a vehicle. The method for recognizing the speech in the vehicle may include collecting one or more types of information, determining information to be linked with each other for speech recognition based on an information processing priority predefined corresponding to each type of the collected information, analyzing the determined information to perform the speech recognition for a signal input through a microphone, and extracting at least one of a wake up voice or a command voice through the speech recognition to control the vehicle. Therefore, the present disclosure has an advantage of more accurately performing the speech recognition by linking collected various information in the vehicle with each other.

Systems and methods for privacy-protecting hybrid cloud and premise stream processing are disclosed. In one embodiment, in an information processing device comprising at least one computer processor, a method for processing a voice communication including restricted content may include: (1) receiving from an electronic device, a customer communication; (2) identifying restricted content in the customer communication; (3) masking or marking the restricted content in the customer communication; (4) communicating the customer communication with the masked or marked restricted content to a cloud processor; (5) receiving a processed responsive communication comprising the masked or marked restricted content from the cloud processor; (6) unmasking or unmarking the restricted content in the processed responsive communication; and (7) communicating the processed responsive communication comprising the unmasked or unmarked restricted content to the electronic device.

Systems and methods for privacy-protecting hybrid cloud and premise stream processing are disclosed. In one embodiment, in an information processing device comprising at least one computer processor, a method for processing a voice communication including restricted content may include: (1) receiving from an electronic device, a customer communication; (2) identifying restricted content in the customer communication; (3) masking or marking the restricted content in the customer communication; (4) communicating the customer communication with the masked or marked restricted content to a cloud processor; (5) receiving a processed responsive communication comprising the masked or marked restricted content from the cloud processor; (6) unmasking or unmarking the restricted content in the processed responsive communication; and (7) communicating the processed responsive communication comprising the unmasked or unmarked restricted content to the electronic device.