Speech signal compression and/or decompression method, medium, and apparatus

A speech signal decompression apparatus, including at least one processing device comprising:

• an inverse packetizing unit, using the at least one processing device, to inversely packetize a compressed speech packet and obtain sign quantization indices and magnitude quantization indices;
• a sign dequantizer to dequantize the sign quantization indices that were obtained by quantizing each sign of each frequency coefficient obtained from a speech signal and coefficient signs;
• a magnitude dequantizer to dequantize the magnitude quantization indices and obtain first coefficient magnitudes;
• a two-dimensional arrangement unit to two-dimensionally arrange the first coefficient magnitudes to obtain second coefficient magnitudes;
• a first inverse transformer to inversely transform the second coefficient magnitudes to obtain third coefficient magnitudes;
• a sign insertion unit to insert signs into the third coefficient magnitudes and obtain frequency coefficients;
• a subframe divider to divide the frequency coefficients into a plurality of subframes;
• and
• a second inverse transformer to inversely transform the frequency coefficients and obtain a time domain signal for each of the subframes,
• wherein the speech signal includes a plurality of subframes and the frequency coefficients for each of the subframes are combined into a plurality of groups according to a time-varying property in energy of the speech signal and a two-dimensional transform is performed on each group according to the time-varying property of the speech signal, the frequency coefficients being combined into groups based on a uniformity of the subframes in relation to neighboring subframes.

A speech signal compression method comprising:

• transforming a speech signal including a plurality of subframes into a frequency domain to obtain frequency coefficients;
• transforming magnitudes of the frequency coefficients for each of the subframes of the speech signal and quantizing the transformed magnitudes to obtain magnitude quantization indices;
• quantizing each sign of each of the frequency coefficients to obtain sign quantization indices;
• and
• generating the magnitude quantization indices and the signs quantization indices as a speech packet,
• wherein the frequency coefficients for each of the subframes are combined into a plurality of groups according to a time-varying property of the speech signal and a two-dimensional transform is performed on each group according to the time-varying property of the speech signal, the frequency coefficients being combined into groups based on a uniformity of the subframes in relation to neighboring subframes.

A speech signal decompression method comprising:

• inversely packetizing a compressed speech packet to obtain sign quantization indices and magnitude quantization indices;
• dequantizing the sign quantization indices that were obtained by quantizing each sign of each frequency coefficient obtained from a speech signal and coefficient signs;
• dequantizing the magnitude quantization indices to obtain first coefficient magnitudes;
• two-dimensionally arranging the first coefficient magnitudes to obtain second coefficient magnitudes;
• inversely transforming the second coefficient magnitudes to obtain third coefficient magnitudes;
• inserting signs into the third coefficient magnitudes to obtain frequency coefficients;
• dividing the frequency coefficients into a plurality of subframes;
• and
• inversely transforming the frequency coefficients to obtain a time domain signal for each of the subframes,
• wherein the speech signal includes a plurality of subframes and the frequency coefficients for each of the subframes are combined into a plurality of groups according to a time-varying property in energy of the speech signal and a two-dimensional transform is performed on each group according to the time-varying property of the speech signal, the frequency coefficients being combined into groups based on a uniformity of the subframes in relation to neighboring subframes.

A computer-readable non-transitory medium encoded with instructions capable of being executed on a computer and implementing a speech signal compression method, comprising:

• transforming a speech signal including a plurality of subframes into a frequency domain to obtain frequency coefficients;
• transforming magnitudes of the frequency coefficients for each of the subframes of the speech signal and quantizing the transformed magnitudes to obtain magnitude quantization indices;
• quantizing each sign of each of the frequency coefficients to obtain sign quantization indices;
• and
• generating the magnitude quantization indices and the sign quantization indices as a speech packet,
• wherein the frequency coefficients for each of the subframes are combined into a plurality of groups according to a time-varying property in energy of the speech signal and a two-dimensional transform is performed on each group according to the time-varying property of the speech signal, the frequency coefficients being combined into groups based on a uniformity of the subframes in relation to neighboring subframes.

A computer-readable non-transitory medium encoded with instructions capable of being executed on a computer and implementing a speech signal decompression method, comprising:

• inversely packetizing a compressed speech packet to obtain sign quantization indices and magnitude quantization indices;
• dequantizing the sign quantization indices that were obtained by quantizing each sign of each frequency coefficient obtained from a speech signal and coefficient signs;
• dequantizing the magnitude quantization indices to obtain first coefficient magnitudes;
• two-dimensionally arranging the first coefficient magnitudes to obtain second coefficient magnitudes;
• inversely transforming the second coefficient magnitudes to obtain third coefficient magnitudes;
• inserting signs into the third coefficient magnitudes to obtain frequency coefficients;
• dividing the frequency coefficients into a plurality of subframes;
• and
• inversely transforming the frequency coefficients to obtain a time domain signal for each of the subframes,
• wherein the speech signal includes a plurality of subframes and the frequency coefficients for each of the subframes are combined into a plurality of groups according to a time-varying property in energy of the speech signal and a two-dimensional transform is performed on each group according to the time-varying property of the speech signal, the frequency coefficients being combined into groups based on a uniformity of the subframes in relation to neighboring subframes.