20240029722. AUDIO MESSAGE EXTRACTION simplified abstract (Amazon Technologies, Inc.)
Contents
AUDIO MESSAGE EXTRACTION
Organization Name
Inventor(s)
Neil Christopher Fritz of Tempe AZ (US)
Lakshya Bhagat of Seattle WA (US)
Scott Southwood of Seattle WA (US)
Katelyn Doran of Seattle WA (US)
Brett Lounsbury of Phoenix AZ (US)
Christo Frank Devaraj of Seattle WA (US)
AUDIO MESSAGE EXTRACTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240029722 titled 'AUDIO MESSAGE EXTRACTION
Simplified Explanation
The abstract of the patent application describes a method for analyzing audio data captured by a voice communications device to determine the intent and target recipient of a spoken message. The audio data is analyzed to identify the message portion and then further analyzed to determine the intended message target and the actual message payload. The audio file is then trimmed to the message payload and delivered as an audio message to the target recipient.
- The patent application proposes a method for analyzing audio data to determine the intent and target recipient of a spoken message.
- The audio data is captured by a voice communications device within its detection range.
- The audio data is analyzed to identify the message portion.
- The intent to send a message is determined based on the analysis of the audio data.
- The remaining portion of the audio data is analyzed to determine the intended message target and the actual message payload.
- Once determined, the audio file is trimmed to the message payload.
- The message payload of the audio data is delivered as an audio message to the target recipient.
Potential applications of this technology:
- Voice-controlled devices and assistants: This technology can be used to enhance voice-controlled devices and assistants by accurately understanding and delivering spoken messages to the intended recipients.
- Voice messaging platforms: It can be implemented in voice messaging platforms to automatically analyze and deliver audio messages to the correct recipients.
- Call center automation: This technology can be utilized in call centers to automate the process of analyzing and delivering audio messages, improving efficiency and accuracy.
Problems solved by this technology:
- Accurate message delivery: By analyzing the audio data, this technology ensures that the audio message is delivered to the correct recipient, reducing the chances of miscommunication.
- Efficient message processing: The method eliminates the need for manual analysis of audio messages, saving time and resources in processing and delivering messages.
- Improved user experience: Users can rely on this technology to accurately deliver their messages, enhancing the overall user experience of voice communications.
Benefits of this technology:
- Automation: The method automates the process of analyzing and delivering audio messages, reducing the need for manual intervention.
- Accuracy: By analyzing the audio data, this technology ensures accurate delivery of messages to the intended recipients.
- Efficiency: The automated analysis and delivery process save time and resources, improving overall efficiency in voice communications.
Original Abstract Submitted
audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. the audio data can be captured and analyzed to determine the intent to send a message. based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.
