Audio waveform display using mapping function
The described technology is generally directed towards providing a visible waveform representation of an audio signal, by processing the audio signal with a polynomial (e.g., cubic) mapping function. Coefficients of the polynomial mapping function are predetermined based on constraints (e.g., slope information and desired range of the resultant curve), and whether the plotted audio waveform corresponds to sound field quantities or power quantities. Once the visible representation of the reshaped audio waveform is displayed, audio and/or video editing operations can be performed, e.g., by time-aligning other audio or video with the reshaped audio waveform, and/or modifying the reshaped audio waveform to change the underlying audio data.
1. A system, comprising:
a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising:
processing an audio signal to reshape the audio signal via a polynomial function of at least degree three into audio waveform data, wherein the polynomial function comprises predetermined coefficients that are determined based on mapping power quantities to the audio waveform data;
outputting a visible representation of the audio waveform; and
manipulating audio information based on the audio waveform data.
2. The system of claim 1 wherein the polynomial function is a degree three polynomial function.
3. The system of claim 1 , wherein the polynomial function comprises predetermined coefficients that sum to a value that corresponds to a range.
4. The system of claim 1 , wherein the polynomial function is a degree three polynomial function and wherein the polynomial function comprises predetermined coefficients and that sum to one.
5. The system of claim 1 , wherein the polynomial function comprises predetermined coefficients, and wherein a value of a trailing coefficient of the predetermined coefficients is based on a predetermined slope.
6. The system of claim 1 , wherein the polynomial function comprises predetermined coefficients and wherein the predetermined coefficients are determined based on mapping field quantities to the audio waveform data.
7. The system of claim 1 , wherein the polynomial function is represented as Ax 3 +Bx 2 +Cx, and wherein the polynomial function comprises predetermined coefficients comprising coefficient A equal to approximately 1.10857, coefficient B equal to approximately −3.10857, and coefficient C equal to approximately 3.
8. The system of claim 1 , wherein the polynomial function is represented as Ax 3 +Bx 2 +Cx, and wherein the polynomial function comprises predetermined coefficients comprising coefficient A equal to approximately 1.217147, coefficient B equal to approximately −3.217147, and coefficient C equal to approximately 3.
9. A machine-implemented method, comprising:
processing audio signal data comprising at least a portion of audio data into reshaped audio waveform data via a cubic polynomial mapping function;
precomputing coefficients for the polynomial mapping function based on at least one of: constraints corresponding to slope information or range information;
outputting a visible representation of the reshaped audio waveform in conjunction with first timing information related to the reshaped audio waveform; and
receiving editing information corresponding to second timing information that relates to the first timing information.
10. The machine-implemented method of claim 9 , wherein the audio signal data comprises first audio signal data corresponding to the first timing information, and wherein the operations further comprise time-aligning second audio signal data with the first audio signal data based on the second timing information.
11. The machine-implemented method of claim 9 , wherein the first timing information related to the reshaped audio waveform comprises first speech data corresponding to the first timing information, and wherein the operations further comprise time-aligning second speech data with the first speech data based on the second timing information.
12. The machine-implemented method of claim 11 , further comprising, in the audio data, replacing the first speech data with the second speech data.
13. The machine-implemented method of claim 9 , wherein the audio signal data corresponds to the first timing information, and wherein the operations further comprise time-aligning video data with the first audio signal data based on the second timing information.
14. The machine-implemented method of claim 9 , wherein the processing the audio signal via the cubic polynomial mapping function comprises selecting a set of coefficients for the cubic polynomial mapping function corresponding to plotting power quantities.
15. The machine-implemented method of claim 9 , wherein the processing the audio signal via the cubic polynomial mapping function comprises selecting a set of coefficients for cubic polynomial mapping function corresponding to plotting field quantities.
16. A machine-implemented method, comprising:
processing audio signal data comprising at least a portion of audio data into reshaped audio waveform data via a cubic polynomial mapping function, comprising selecting a set of coefficients for the cubic polynomial mapping function corresponding to plotting power quantities or plotting field quantities;
outputting a visible representation of the reshaped audio waveform in conjunction with first timing information related to the reshaped audio waveform; and
receiving editing information corresponding to second timing information that relates to the first timing information.
17. The machine-implemented method of claim 16 , wherein the audio signal data comprises first audio signal data corresponding to the first timing information, and wherein the operations further comprise time-aligning second audio signal data with the first audio signal data based on the second timing information.
18. The machine-implemented method of claim 16 , wherein the first timing information related to the reshaped audio waveform comprises first speech data corresponding to the first timing information, and wherein the operations further comprise time-aligning second speech data with the first speech data based on the second timing information.
19. The machine-implemented method of claim 18 , further comprising, in the audio data, replacing the first speech data with the second speech data.
20. The machine-implemented method of claim 16 , wherein the audio signal data corresponds to the first timing information, and wherein the operations further comprise time-aligning video data with the first audio signal data based on the second timing information.