Abstract: Various embodiments of the present disclosure evaluate transcription accuracy. In some implementations, the system normalizes a first transcription of an audio file and a baseline transcription of the audio file. The baseline transcription can be used as an accurate transcription of the audio file. The system can further determine an error rate of the first transcription by aligning each portion of the first transcription with the portion of the baseline transcription, and assigning a label to each portion based on a comparison of the portion of the first transcription with the portion of the baseline transcription.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: Various embodiments of the present disclosure evaluate transcription accuracy. In some implementations, the system normalizes a first transcription of an audio file and a baseline transcription of the audio file. The baseline transcription can be used as an accurate transcription of the audio file. The system can further determine an error rate of the first transcription by aligning each portion of the first transcription with the portion of the baseline transcription, and assigning a label to each portion based on a comparison of the portion of the first transcription with the portion of the baseline transcription.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger, and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: A method includes collecting first data from a first sensor associated with a vehicle and determining, based on the first data, that an event involving the vehicle may occur. The method includes identifying a second sensor located within a proximity of the vehicle and causing the second sensor to collect second data. The method also includes associating the first data and the second data with a first event associated with the vehicle.

Abstract: A computer-implemented method for integrating sound data into a telecommunication system, said method comprising receiving, at a processor, one or more sound signals from a telecommunication device of a first user during a conversation with the first user, determining, in real time from the sound signals, one or more qualities of the sound signals for recognition of the sound signals, and displaying a visual representation of the sound signals to a second user. Qualities of the sound signal to be determined include, but are not limited to: a) the words that were spoken b) the intent expressed and their context and c) the sentiment of the speaker. Visual representation of the sound signal to the second user include, but are not limited to: a) specific words that were spoken by the first user b) high level intent expressed by the words and the first users context c) information related to or inferred from the spoken words (e.g.

Abstract: A method includes collecting first data from a first sensor associated with a vehicle and determining, based on the first data, that an event involving the vehicle may occur. The method includes identifying a second sensor located within a proximity of the vehicle and causing the second sensor to collect second data. The method also includes associating the first data and the second data with a first event associated with the vehicle.