A sampling-based environment population projection approach for rapid acoustic model adaptation

We propose an environment population projection (EPP) approach for rapid acoustic model adaptation to reduce environment mismatches with limited amounts of adaptation data. This approach consists of two stages: population construction and projection. In the population construction stage, we apply a sampling scheme on the adaptation data to construct an environment population based on acoustic models prepared in the training phase. With this sampling procedure, the environment samples in the population characterize diverse acoustic information embedded in the adaptation data. Next, the projection stage estimates a function to map the environment population into one set of acoustic models that matches the testing condition. With a wellconstructed environment population, a simple projection function can enable the EPP approach to accurately characterize the testing environment even with a small amount of adaptation data. To examine the rapid adaptation ability of EPP, we used only one ad...

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Yu Tsao, Shigeki Matsuda, Shinsuke Sakai, Ryosuke Isotani, Hisashi Kawai, Satoshi Nakamura
• Keywords: Acoustic Models, Adaptation Data, Environment Population, ICASSP 2011, Signal Processing