探討聲學模型的合併技術與半監督鑑別式訓練於會議語音辨識之研究 (Investigating acoustic model combination and semi-supervised discriminative training for meeting speech recognition) [In Chinese]

結合鑑別式訓練與模型合併於半監督式語音辨識之研究 (Leveraging Discriminative Training and Model Combination for Semi-supervised Speech Recognition)

AND: Audio Network Dissection for Interpreting Deep Acoustic Models

Neuron-level interpretations aim to explain network behaviors and properties by investigating neurons responsive to specific perceptual or structural input patterns. Although there is emerging work in the vision and lang…

DARTS: Dialectal Arabic Transcription System

We present the speech to text transcription system, called DARTS, for low resource Egyptian Arabic dialect. We analyze the following; transfer learning from high resource broadcast domain to low-resource dialectal domain…

Semi-Supervised Sparse Coding

Sparse coding approximates the data sample as a sparse linear combination of some basic codewords and uses the sparse codes as new presentations. In this paper, we investigate learning discriminative sparse codes by spar…

Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition

We present an analysis of semi-supervised acoustic and language model training for English-isiZulu code-switched ASR using soap opera speech. Approximately 11 hours of untranscribed multilingual speech was transcribed au…