Dialog Enhancement Audio System Using Spatial Channel Separation
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Solution Overview
Problem
Existing methods for improving speech intelligibility in audio signals, particularly for individuals with mild hearing loss or in noisy environments, often require high computational resources and do not efficiently differentiate between speech and non-speech channels.
Innovation Solution
A system and method that analyzes audio signals to generate filter control values, upmixes the signal to separate speech and non-speech channels, applies a peaking filter to enhance speech clarity, and attenuates non-speech channels using ducking circuitry, all while minimizing computational requirements by operating without feedback and using power ratios to dynamically control filtering and attenuation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing methods for improving speech intelligibility are used, then speech intelligibility is improved, but computational resources and processor speed requirements increase significantly
Solution Approach 1:
The audio signal is segmented into speech channels and non-speech channels using spatial separation techniques. The speech channel is isolated from background noise and music by analyzing the spatial distribution of audio energy across multiple channels, allowing targeted processing only of the speech component without computationally intensive processing of the entire audio signal.
Solution Approach 2:
Different processing qualities are applied to different parts of the audio signal. The peaking filter is applied selectively to frequency bands critical for speech intelligibility (such as the formant regions) rather than processing the entire frequency spectrum, and only to the extent necessary to enhance speech clarity without affecting other audio content.
2Reliability
If existing methods for improving speech intelligibility are used, then speech intelligibility is improved, but processor speed requirements increase
Solution Approach 1:
The system performs preliminary spatial analysis to identify and separate speech channels from non-speech channels before applying the peaking filter. By pre-characterizing the spatial properties of the audio signal and creating channel separations in advance, the subsequent filtering operation works on pre-processed, simplified data that requires less computational speed.
Solution Approach 2:
The system creates simplified representations (copies) of the audio signal in different spatial channels (speech channel, non-speech channels) that capture the essential characteristics without the full complexity of the original signal. This allows the peaking filter to operate on these simplified copies rather than the complete audio signal, reducing processor speed requirements.
3Adaptability or versatility
If conventional audio processing is used, then processing is applied to the entire signal, but the ability to differentiate between speech and non-speech channels is insufficient
Solution Approach 1:
The system dynamically adjusts the spatial filtering characteristics based on the analyzed audio signal properties. The peaking filter parameters are adapted in real-time according to the detected speech content and spatial distribution, allowing the system to optimize channel differentiation for each specific audio scenario without requiring complex fixed processing architectures.
Data Source
AI summary
A method and system for enhancing dialog determined by an audio input signal. In some embodiments the input signal is a stereo signal, and the system includes an analysis subsystem configured to analyze the stereo signal to generate filter control values, and a filtering subsystem including upmixing circuitry configured to upmix the input signal to generate a speech channel and non-speech channels and a peaking filter configured to filter the speech channel to enhance dialog while being steered by at least one of the control values. The filtering subsystem also includes ducking circuitry for attenuating the non-speech channels while being steered by at least some of the control values, and downmixing circuitry configured to combine outputs of the peaking filter and ducking circuitry to generate a filtered stereo output. In some embodiments, the system is configured to downmix a multichannel input signal to generate a downmixed stereo signal, an analysis subsystem is configured to analyze the downmixed stereo signal to generate filter control values, and a filtering subsystem is configured to generate a dialog-enhanced audio signal in response to the input signal while being steered by at least some of the filter control values. Preferably, the filter control values are generated without use of feedback including by generating power ratios (for pairs of speech and non-speech channels) and preferably also shaping in nonlinear fashion and scaling at least one of the power ratios.