diff --git a/Makefile.draft b/Makefile.draft index 800cceec..aea72763 100644 --- a/Makefile.draft +++ b/Makefile.draft @@ -20,7 +20,7 @@ CFLAGS := -Drestrict= $(CFLAGS) ###################### END OF OPTIONS ###################### -CFLAGS += -DOPUS_VERSION='"0.9.9"' +CFLAGS += -DOPUS_VERSION='"0.9.10"' include silk_sources.mk include celt_sources.mk include opus_sources.mk diff --git a/configure.ac b/configure.ac index c54bade9..77e09340 100644 --- a/configure.ac +++ b/configure.ac @@ -9,7 +9,7 @@ m4_ifdef([AM_SILENT_RULES], [AM_SILENT_RULES([yes])]) OPUS_MAJOR_VERSION=0 OPUS_MINOR_VERSION=9 -OPUS_MICRO_VERSION=9 +OPUS_MICRO_VERSION=10 OPUS_EXTRA_VERSION= OPUS_VERSION="$OPUS_MAJOR_VERSION.$OPUS_MINOR_VERSION.$OPUS_MICRO_VERSION$OPUS_EXTRA_VERSION" diff --git a/doc/draft-ietf-codec-opus.xml b/doc/draft-ietf-codec-opus.xml index 9aa3c4ec..a0592a5c 100644 --- a/doc/draft-ietf-codec-opus.xml +++ b/doc/draft-ietf-codec-opus.xml @@ -2,7 +2,7 @@ - + Definition of the Opus Audio Codec @@ -53,7 +53,7 @@ - + General @@ -6771,7 +6771,7 @@ The processing for voiced and unvoiced speech is described in , and the quantized LTP coefficients are used to compute the LTP residual signal. This LTP residual signal is the input to an LPC analysis where the LPCs are - estimated using Burg's method, such that the residual energy is minimized. + estimated using Burg's method , such that the residual energy is minimized. The estimated LPCs are converted to a Line Spectral Frequency (LSF) vector and quantized as described in . After quantization, the quantized LSF vector is converted back to LPC @@ -6811,7 +6811,7 @@ faster than the autocovariance method. The implementation of Burg's method differs from traditional implementations in two aspects. The first difference is that it -operates on autocorrelations, similar to the Schur algorithm, but +operates on autocorrelations, similar to the Schur algorithm , but with a simple update to the autocorrelations after finding each reflection coefficient to make the result identical to Burg's method. This brings down the complexity of Burg's method to near that of @@ -7709,6 +7709,22 @@ Robust and Efficient Quantization of Speech LSP Parameters Using Structured Vect + + +Maximum Entropy Spectral Analysis + + + + + + +A fixed point computation of partial correlation coefficients + + + + + +