Introduction

The BTK contains C++ and Python libraries that implement speech processing and microphone array techniques:

Speaker tracking,

Beamforming,

Post-filtering,

Speech enhancement,

Dereverberation,

Echo cancellation and

Speech feature extraction.

The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition.

The basic components of the BTK and Millennium ASR were originally developed at the University of Karlsruhe under the European integrated project, CHIL. The significant improvements and new functionalities were further added at LSV, Saarland University and MLSP, Carnegie Mellon University.

Features

Portable to Unix-like Systems with the GNU g++ compiler and SWIG

Both C++ and Python interfaces

Efficient handling for a block of incoming audio samples that makes BTK suitable for real-time prototypes