Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation

Research article (2018 IEEE Spoken Language Technology Workshop (SLT), 2018) · cited 10× · AI/ML
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Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation

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Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-deep-cnn-based-utterance-embeddings-for-acoustic-model-adaptation
MLA “Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-deep-cnn-based-utterance-embeddings-for-acoustic-model-adaptation.
BibTeX @misc{4ortxyz_analyzing-deep-cnn-based-utterance-embeddings-for-acoustic-model-adaptation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-deep-cnn-based-utterance-embeddings-for-acoustic-model-adaptation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation — https://4ort.xyz/entity/analyzing-deep-cnn-based-utterance-embeddings-for-acoustic-model-adaptation (retrieved 2026-05-24)

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