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H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model

Research article (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020) · cited 18× · AI/ML
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H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model

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H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model is a scholarly article[1].

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  • H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/h-vectors-utterance-level-speaker-embedding-using-a-hierarchical-attention-model
MLA “H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/h-vectors-utterance-level-speaker-embedding-using-a-hierarchical-attention-model.
BibTeX @misc{4ortxyz_h-vectors-utterance-level-speaker-embedding-using-a-hierarchical-attention-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model}}, year = {2026}, url = {https://4ort.xyz/entity/h-vectors-utterance-level-speaker-embedding-using-a-hierarchical-attention-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model — https://4ort.xyz/entity/h-vectors-utterance-level-speaker-embedding-using-a-hierarchical-attention-model (retrieved 2026-05-24)

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