语音识别系统-----The Bavieca ASR toolkit

无意中，又发现个新的语音识别工具箱，这个工具箱还是有点高上大，是IBM公司弄出来。网址：http://www.bavieca.org/index.html#

下载：

Bavieca's source code can be freely downloaded from SourceForge. The following command downloads Bavieca's source code from the git repository at SourceForge:

git clone git://git.code.sf.net/p/bavieca/code bavieca-code




安装：

Prerequisites

Bavieca makes use of the BLAS and LAPACK third-party libraries to perform linear algebra, thus, it is necessary to download and compile these libraries before installing Bavieca. These libraries can be obtained fromnetlib. Once the libraries are installed, some variables defined in "/src/Makefile.defines" need to be modified to point to the installed libraries. The following variables need to be set:

INCS_DIR_CBLAS = directory containing BLAS include files

INCS_DIR_LAPACK = directory containing LAPACK include files

LIBS_DIR_CBLAS = directory containing CBLAS library files

LIBS_DIR_LAPACK = directory containing LAPACK library files

LIB_CBLAS = CBLAS library files

LIB_LAPACK = LAPACK library files

Installation

Currently there are no binary distributions of Bavieca, thus it is necessary to compile Bavieca for the target architecture to produce the actual binaries. Bavieca's source code has been compiled under Linux (32 and 64 bits) and Windows (64 bits) x86 architectures. However, at the moment only some of its functionality (mainly the functionality exposed in Bavieca's API) has been tested on Windows. For this reason the current version of the software in the repository does not contain support for compiling it under Windows. Future releases will incorporate full support for the Windows platform and possibly for other platforms.

Once Bavieca's dependencies have been installed, it is possible to compile the toolkit by navigating to the directory "/src" and typing "make". This command will produce an executable file for each command line tool in Bavieca and the Bavieca API library.

在论文里看到他的实验，据说在wsj数据库上的实验比HTK ,KALDI的效果好。贴下图吧：

其实，就我自己看其实效果也还是差不多的，不过根据IBM的说法，是自己比较简洁。3万行代码就弄完了。具体的可以看这个：http://www.bavieca.org/index.html。

好了，大家有兴趣可以去研究。欢迎交流……