Dynamic Speech Speed Adjustment for Playback Clarity
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Solution Overview
Problem
Electronic devices face challenges in processing and playback of human speech due to issues like speed, accents, background noise, and variations in loudness, making it difficult to understand specific information like names, addresses, or phone numbers during voice messages or communication sessions.
Innovation Solution
A system dynamically adjusts the speed of human speech playback by analyzing input audio data, command data, and user preferences to determine a target speech speed, using machine learning models to modify speech speed, add pauses, and separate speech from different users, without altering the pitch, to improve playback clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech playback speed is increased to improve efficiency, then productivity increases, but speech clarity and understanding deteriorate
Solution Approach 1:
The system dynamically adjusts speech playback speed based on real-time analysis of speech characteristics, allowing the playback rate to vary throughout the audio content. This enables faster playback during less critical segments while maintaining normal speed during important information, thus improving overall productivity without sacrificing understanding.
Solution Approach 2:
Different portions of the speech content are assigned different playback speeds based on their importance and complexity. Critical information such as names, addresses, and phone numbers are played back at normal or reduced speed, while less critical segments are accelerated, optimizing both comprehension and efficiency.
2Loss of information
If speech playback speed is decreased to improve understanding, then speech clarity improves, but time consumption increases
Solution Approach 1:
The playback speed is dynamically adjusted rather than uniformly reduced, allowing the system to maintain faster overall playback while slowing down only specific segments that require better understanding, thus minimizing time loss while improving clarity where needed.
Solution Approach 2:
The speech content is segmented into different sections based on information density and importance. Critical segments are played back at reduced speed for better understanding, while non-critical segments maintain higher speed, reducing overall playback time while preserving understanding of key information.
3Quantity of substance
If multiple speech streams are combined to capture all users, then quantity of information increases, but speech separation and clarity deteriorate
Solution Approach 1:
The system segments the mixed audio signal into separate speech streams corresponding to different users or speakers. By separating the speech sources, the system maintains the ability to capture multiple voices while preserving the distinguishability and clarity of each individual speech stream.
Solution Approach 2:
Different speech segments are processed with different quality parameters, allowing the system to enhance the clarity and separability of individual speech streams while maintaining the overall multi-user capture capability. Each speech source receives targeted processing to optimize its distinguishability.
Data Source
AI summary
A system configured to vary a speech speed of speech represented in input audio data without changing a pitch of the speech. The system may vary the speech speed based on a number of different inputs, including non-audio data, data associated with a command, or data associated with the voice message itself. The non-audio data may correspond to information about an account, device or user, such as user preferences, calendar entries, location information, etc. The system may analyze audio data associated with the command to determine command speech speed, identity of person listening, etc. The system may analyze the input audio data to determine a message speech speed, background noise level, identity of the person speaking, etc. Using all of these inputs, the system may dynamically determine a target speech speed and may generate output audio data having the target speech speed.