8 citations · 11 across the 3 of their papers we have counts for
3 papers
eess.AS2018★ 1 cited
When CTC Training Meets Acoustic Landmarks
Di He, Xuesong Yang, Boon Pang Lim +3
Connectionist temporal classification (CTC) provides an end-to-end acoustic model (AM) training strategy. CTC learns accurate AMs without time-aligned phonetic transcription, but s…
cs.CL2018★ 2 cited
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks
Di He, Boon Pang Lim, Xuesong Yang +2
Furui first demonstrated that the identity of both consonant and vowel can be perceived from the C-V transition; later, Stevens proposed that acoustic landmarks are the primary cue…
eess.AS2017★ 8 cited
Acoustic Landmarks Contain More Information About the Phone String than Other Frames for Automatic Speech Recognition with Deep Neural Network Acoustic Model
Di He, Boon Pang Lim, Xuesong Yang +2
Most mainstream Automatic Speech Recognition (ASR) systems consider all feature frames equally important. However, acoustic landmark theory is based on a contradictory idea, that s…