A two-stage pipeline of noise/reverberation augmentation followed by transfer learning reduces word error rate by 19.3% relative on German oral history interviews.
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Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews
A two-stage pipeline of noise/reverberation augmentation followed by transfer learning reduces word error rate by 19.3% relative on German oral history interviews.