Abstract: In some implementations, a web instance may receive an indication of an event associated with a uniform resource locator (URL) that includes a slug. The web instance may determine, using an indicator encoded in the slug, that the URL is associated with an action that is included in a concurrency control group. The web instance may communicate with a remote database to determine whether the concurrency control group is locked. The web instance may selectively trigger execution of the action based on whether the concurrency control group is locked.

Abstract: In some implementations, a web host may receive a configuration file associated with at least one action. The web host may determine, using the configuration file, that the at least one action is controlled for concurrency. Accordingly, the web host may generate a URL for the at least one action. The URL may include a slug, and the slug may include an identifier associated with the action and at least one bit indicating that the action is controlled for concurrency.

Abstract: In some implementations, a web instance may receive an indication of an event associated with a uniform resource locator (URL) that includes a slug. The web instance may determine, using an indicator encoded in the slug, that the URL is associated with an action that is included in a concurrency control group. The web instance may communicate with a remote database to determine whether the concurrency control group is locked. The web instance may selectively trigger execution of the action based on whether the concurrency control group is locked.

Abstract: The disclosed system and method detect robocalls using biometric voice fingerprints. The system receives audio input representing a plurality of telephone calls. For at least a portion of the telephone calls, the system analyzes the received audio based on a voice biometrics detection model to identify one or more biometric indicators characterizing a speaker in the analyzed telephone call. The system generates and stores a voice fingerprint characterizing the speaker based on the biometric indicators, and a time of the analyzed telephone call. The system analyzes stored voice fingerprints and times corresponding to speakers in the analyzed telephone calls to determine a frequency of occurrence of each voice fingerprint within an analyzed timeframe. If the frequency of occurrence of a voice fingerprint exceeds a threshold call quantity within the analyzed timeframe, the voice fingerprint is characterized as being associated with a robocaller.

Abstract: The disclosed system and method detect robocalls using biometric voice fingerprints. The system receives audio input representing a plurality of telephone calls. For at least a portion of the telephone calls, the system analyzes the received audio based on a voice biometrics detection model to identify one or more biometric indicators characterizing a speaker in the analyzed telephone call. The system generates and stores a voice fingerprint characterizing the speaker based on the biometric indicators, and a time of the analyzed telephone call. The system analyzes stored voice fingerprints and times corresponding to speakers in the analyzed telephone calls to determine a frequency of occurrence of each voice fingerprint within an analyzed timeframe. If the frequency of occurrence of a voice fingerprint exceeds a threshold call quantity within the analyzed timeframe, the voice fingerprint is characterized as being associated with a robocaller.

Abstract: The disclosed system and method detect robocalls using biometric voice fingerprints. The system receives audio input representing a plurality of telephone calls. For at least a portion of the telephone calls, the system analyzes the received audio based on a voice biometrics detection model to identify one or more biometric indicators characterizing a speaker in the analyzed telephone call. The system generates and stores a voice fingerprint characterizing the speaker based on the biometric indicators, and a time of the analyzed telephone call. The system analyzes stored voice fingerprints and times corresponding to speakers in the analyzed telephone calls to determine a frequency of occurrence of each voice fingerprint within an analyzed timeframe. If the frequency of occurrence of a voice fingerprint exceeds a threshold call quantity within the analyzed timeframe, the voice fingerprint is characterized as being associated with a robocaller.