CUDA Spotlight: The Future of Voice Search - Accelerated by CUDA
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We recently read about a "speech indexing" start-up called Nexiwave in a posting on gpgpu.org. We wanted to learn more so we contacted CEO Ben Jiang. Here's an excerpt from our email interview:
NVIDIA: Ben, what makes speech indexing a compelling application?
The problem is that today's information retrieval applications, such as internet search, focus on textual content. Information retrieval from speech content still relies primarily on a human's memory. The objective of speech indexing is to enable us to easily extract information from archived audio and video content. Through the Nexiwave system, an end user can easily search the content and locate the exact location of interest, whether it's a word, a phrase or a general topic.
NVIDIA: What are some of the potentially big markets for speech indexing?
NVIDIA: What stage is your technology in?
NVIDIA: What is the connection between Nexiwave and CMU Sphinx, the speech recognition system from Carnegie Mellon?
NVIDIA: Where does the GPU fit into this?
NVIDIA: How did you like programming/porting in the CUDA C environment?
NVIDIA: How does CUDA help you?