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Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit

Research article (PLoS ONE, 2017) · cited 92× · AI/ML
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Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit

Summary

Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit is a scholarly article[1].

Key Facts

  • Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit. Retrieved May 24, 2026, from https://4ort.xyz/entity/words-from-spontaneous-conversational-speech-can-be-recognized-with-human-like-accuracy-by-an-error-driven-learning-algo
MLA “Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/words-from-spontaneous-conversational-speech-can-be-recognized-with-human-like-accuracy-by-an-error-driven-learning-algo.
BibTeX @misc{4ortxyz_words-from-spontaneous-conversational-speech-can-be-recognized-with-human-like-accuracy-by-an-error-driven-learning-algo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit}}, year = {2026}, url = {https://4ort.xyz/entity/words-from-spontaneous-conversational-speech-can-be-recognized-with-human-like-accuracy-by-an-error-driven-learning-algo}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit — https://4ort.xyz/entity/words-from-spontaneous-conversational-speech-can-be-recognized-with-human-like-accuracy-by-an-error-driven-learning-algo (retrieved 2026-05-24)

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