spoken language understanding

USAGE SUMMARY

"spoken language understanding" is correct and usable in written English. You can use it in contexts related to linguistics, artificial intelligence, or communication studies. For example, "The system's spoken language understanding capabilities have improved significantly." Alternative expressions include "speech comprehension" and "oral language processing."

✓ Grammatically correct

Academia

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

18 human-written examples

The temporal structure of spoken language understanding.

Nature

In this paper we explore the use of semantics in training language models for automatic speech recognition and spoken language understanding.

Computer Speech & Language

Our dialogue system, based on empirical data gathered from real call-center conversations, features data-driven techniques that allow for spoken language understanding despite speech recognition errors, as well as mixed system/customer initiative and spontaneous conversation.

Speech Communication

Spoken conversational systems, spoken language understanding and generation, genomics.

Massachusetts Institute of Technology

His research is focused on the area of spoken language processing which includes speech enhancement, source separation, microphone array, speaker adaptation, speaker clustering, acoustic and language modeling for speech recognition, voice conversion, spoken language understanding, and spoken dialog systems.

Johns Hopkins University

He has authored more than 130 publications in the areas of speech recognition, spoken language understanding and dialog, multimodal interaction, standards for human-machine communication, and machine learning.

University of California, Berkeley

Human-verified similar examples from authoritative sources

Similar Expressions

42 human-written examples

This is crucial especially when the main aim of spoken language systems is understanding what the user means.

Computer Speech & Language

The most commonly accepted professional interpreter role was as a "mouthpiece" who conveys spoken language verbatim, ensuring understanding and being confidential and impartial, but also translating the written information used in daily elderly care, such as menus.

BMC Health Services Research

Previous studies have shown the rhythm of speech changes the rhythm of neural activity involved in understanding spoken language.

Cornell University

"Our expectations and stereotypes on what people sound like are what we use, need and rely on when it comes to understanding spoken language," Babel says.

Vice

"Our expectations and stereotypes on what people sound like are what we use, need, and rely on when it comes to understanding spoken language," Babel says.

Vice

Expert writing Tips

Best practice

When writing about artificial intelligence, use the phrase "spoken language understanding" to specifically denote the capacity of a system to interpret and comprehend human speech. This avoids ambiguity with broader natural language processing concepts.

Common error

While "spoken language understanding" is a technical term, ensure your writing remains accessible to your audience. Avoid unnecessarily complex terminology when simpler terms like "speech comprehension" would suffice to ensure broader understanding.

Linguistic Context

The phrase "spoken language understanding" functions as a noun phrase describing a field or capability related to interpreting human speech. Ludwig AI confirms its usage in varied contexts.

Expression frequency: Common

Frequent in

Academia

33%

Science

48%

News & Media

19%

Less common in

Encyclopedias

0%

Wiki

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "spoken language understanding" is a well-established term referring to the ability of a system to interpret and comprehend spoken language. As Ludwig confirms, it's grammatically correct and sees frequent usage, especially in academic and scientific domains, but also increasingly in news media. The phrase describes a core component of AI and computational linguistics, involving technologies like speech recognition and natural language processing. When using this term, consider your audience and balance technical accuracy with accessible language. Alternatives like "speech comprehension" may suit broader audiences. The term is deemed correct and usable, according to Ludwig AI, suitable for describing complex AI and linguistic concepts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Speech understanding

A shorter, more concise version of the original phrase.

Understanding spoken discourse

Emphasizes the comprehension of extended spoken communication.

Oral communication comprehension

Highlights the understanding aspect of oral communication, suitable for more formal contexts.

Processing spoken language

Focuses on the computational processes involved in understanding spoken language.

Verbal language interpretation

Stresses the interpretation of verbal communication.

Speech recognition and interpretation

Focuses on the technical aspects of converting speech to text and then deriving meaning.

Voice data analysis

Emphasizes the analytical aspect of processing voice input to extract relevant information.

Spoken word recognition

Highlights the ability to recognize spoken words, a foundational step in understanding.

Acoustic language processing

Focuses on the processing of language through acoustic signals.

Oral language skills

Highlights the ability to correctly understand when people speaks

FAQs

How is "spoken language understanding" used in artificial intelligence?

In AI, "spoken language understanding" refers to the ability of a computer system to accurately interpret and derive meaning from human speech, enabling interactions through voice commands and natural dialogues.

What are some technologies related to "spoken language understanding"?

Related technologies include automatic speech recognition (ASR), natural language processing (NLP), and dialogue management, which together enable systems to process and respond to spoken input effectively.

How does "spoken language understanding" differ from "speech recognition"?

"Speech recognition" focuses on transcribing audio into text, while "spoken language understanding" goes a step further by interpreting the meaning and intent behind the transcribed text. "Speech recognition" is about what was said; "spoken language understanding" is about what it means.

What skills are required to work in "spoken language understanding"?

Skills include expertise in computational linguistics, machine learning, and software engineering, as well as a strong understanding of phonetics, semantics, and pragmatics to develop effective language models.