UNSUPERVISED SPEECH RECOGNITION WITH N-SKIPGRAM AND POSITIONAL UNIGRAM MATCHING
收藏DataCite Commons2025-01-02 更新2025-04-16 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/f6100df4-d949-4370-aaa3-6aa019d5ba42
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资源简介：
Training unsupervised speech recognition systems presents challenges due to GAN-associated instability, misalignment between speech and text, and significant memory demands. To tackle these challenges, we introduce a novel ASR system, ESPUM. This system harnesses the power of lower-order N-skipgrams (up to N = 3) combined with positional unigram statistics gathered from a small batch of samples.
提供机构：
TIB
创建时间：
2025-01-02
