Method for preprocessing speech for digital audio quality improvement
Preprocessing speech signals from an indirect conduction microphone. One exemplary method preprocesses the speech signal in two stages. In stage one, an external speech sample is characterized using an auto regression model, and coefficients from the model are convolved with the internal speech signal from the indirect conduction microphone to produce a pre-conditioned internal speech signal. In stage two, a training sound is received by the indirect conduction microphone and filtered through a low-pass filter. The result is then modeled using auto regression, and inverted to produce an inverted filter model. The pre-conditioned internal speech signal is convolved with the inverted filter model to remove negative or undesirable acoustic characteristics and loss from the speech signal from the indirect conduction microphone.
1. A method for preprocessing speech signals received from an indirect conduction microphone, the method comprising:
receiving, by a direct conduction microphone, an external speech sound;
estimating, by a processor, an external speech spectral model based on the external speech sound, the external speech spectral model including a plurality of coefficients;
receiving, from the indirect conduction microphone, an internal speech signal;
combining, by the processor, the plurality of coefficients with the internal speech signal to produce a preconditioned internal speech signal;
obtaining, by the processor, a low-frequency training sound signal;
estimating, by the processor, a filter model characteristic based on the low-frequency training sound signal;
determining, by the processor, an inverted filter model characteristic; and
combining, by the processor, the inverted filter model characteristic with the preconditioned internal speech signal to produce a preprocessed internal speech signal.
2. The method of claim 1 , further comprising:
receiving, by the indirect conduction microphone, a training sound; and
filtering, by the processor, the training sound to produce a low-frequency training sound signal.
3. The method of claim 2 , wherein the training sound is produced by a user of the indirect conduction microphone.
4. The method of claim 2 , wherein the training sound is an internal excitation produced by the indirect conduction microphone.
5. The method of claim 1 , further comprising:
receiving, by a voice encoder, the preprocessed internal speech signal; and
digitizing, by the voice encoder, the preprocessed internal speech signal.
6. The method of claim 1 , wherein the indirect conduction microphone is an ear microphone.
7. The method of claim 1 , wherein the indirect conduction microphone is a throat microphone.
8. The method of claim 1 , wherein the indirect conduction microphone is a skull microphone.
9. A communications device, the device comprising:
a direct conduction microphone,
an indirect conduction microphone, and
a radio, including
a memory, and
a processor configured to
receive, from the direct conduction microphone, an external speech signal;
estimate an external speech spectral model, based on the external speech signal, the external speech spectral model including a plurality of coefficients;
receive, from the indirect conduction microphone, an internal speech signal;
combine the plurality of coefficients with the internal speech signal to produce a preconditioned internal speech signal;
obtain a low-frequency training sound signal;
estimate a filter model characteristic based on the low-frequency training sound signal;
determine an inverted filter model characteristic; and
combine the inverted filter model characteristic with the preconditioned internal speech signal to produce a preprocessed internal speech signal.
10. The device of claim 9 , wherein the processor is further configured to
receive, by the indirect conduction microphone, a training sound; and
filter the training sound to produce a low-frequency training sound signal.
11. The device of claim 10 , wherein the training sound is produced by a user of the indirect conduction microphone.
12. The device of claim 10 , wherein the training sound is an internal excitation produced by the indirect conduction microphone.
13. The device of claim 9 , further comprising a voice encoder configured to
receive the preprocessed internal speech signal; and
digitize the preprocessed internal speech signal.
14. The device of claim 9 , wherein the indirect conduction microphone is an ear microphone.
15. The device of claim 9 , wherein the indirect conduction microphone is a throat microphone.
16. The device of claim 9 , wherein the indirect conduction microphone is a skull microphone.