This is an old revision of the document!
Url: https://github.com/UFAL-DSG/alex-asr The Alex ASR software package basically is an incremental speech decoder using the Kaldi ASR toolkit. It can be used for various types of GMM-HMM acoustic models and nnet2 ones.
After having done a clone of its Git repository, you can compile it as described on the github page or if you'd like to compile it with NVIDIA CUDA GPU support (to also support acoustic models trained using GPUs), do the following:
CUDATKDIR = <add local path to CUDA dir here, usually /usr/local/cuda>
CUDA_INCLUDE= -I$(CUDATKDIR)/include
CUDA_LDFLAGS = -L$(CUDATKDIR)/lib64 -Wl,-rpath,$(CUDATKDIR)/lib64
CUDA_LDLIBS = -lcublas -lcudart -lcurand
\
-DHAVE_CUDA $(CUDA_INCLUDE) $(CUDA_LDFLAGS) $(CUDA_LDLIBS)
The above modifications were tested after having succesfully completed the default compile instructions on Alex ASR's github page.
Locally installed NVIDIA CUDA version was 7.5: https://developer.nvidia.com/cuda-75-downloads-archive.
Alex ASR was compiled against version hash 261fbb540a2dd40cb5248258dcbea77f4fdeee49 of the Kaldi ASR git repo instead of the one pointed at by Alex ASR's scripts.