clean speech

USAGE SUMMARY

The phrase "clean speech" is correct and usable in written English.
It can be used to refer to language that is free from profanity, offensive content, or inappropriate remarks. Example: "The speaker emphasized the importance of clean speech during the event to ensure a respectful atmosphere."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

(a) Clean speech signal.

EURASIP Journal on Audio, Speech, and Music Processing

a Spectrogram of clean speech.

EURASIP Journal on Advances in Signal Processing

No clean speech is involved in training.

EURASIP Journal on Audio, Speech, and Music Processing

The speaker independent HMMs are trained by clean speech data.

EURASIP Journal on Audio, Speech, and Music Processing

For reasonably clean speech, this approach appears to be adequate.

EURASIP Journal on Audio, Speech, and Music Processing

The clean speech is then estimated using the regression coefficients.

EURASIP Journal on Audio, Speech, and Music Processing

We also performed evaluation experiments on clean speech ("ClnData").

EURASIP Journal on Advances in Signal Processing

Therefore, better estimation of the clean speech can be expected.

EURASIP Journal on Advances in Signal Processing

Here, "CS" denotes the input clean speech signal power.

EURASIP Journal on Advances in Signal Processing

The test set contained both clean speech and noisy speech.

EURASIP Journal on Audio, Speech, and Music Processing

(a) clean speech; (b) mixture of clean speech and cocktail party noise; (c) segregated speech by the proposed method.

EURASIP Journal on Audio, Speech, and Music Processing

Expert writing Tips

Best practice

When describing audio processing techniques, specify what type of noise or distortion is being removed to achieve "clean speech".

Common error

Avoid using "clean speech" when you mean easily understandable speech; "clean speech" specifically refers to speech free from noise or distortions, not necessarily clarity of articulation.

Linguistic Context

The phrase "clean speech" functions as a noun phrase, where "clean" acts as an adjective modifying the noun "speech". It refers to speech that has been processed to remove noise or distortion. Ludwig AI shows examples of its use in describing signal processing techniques.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "clean speech" is a technical term commonly used in audio processing and signal processing contexts. As Ludwig AI explains, it refers to speech signals that have been processed to remove noise, reverberation, or other distortions, aiming for the highest possible quality. It is generally used in formal and scientific contexts, and should be used when that specific meaning is intended. A less technical but similar expression would be /s/clear+speech.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

clear speech

Focuses on the audibility and lack of distortion in speech.

unprocessed speech

Emphasizes the absence of alterations or enhancements applied to the speech signal.

original speech

Highlights the speech in its initial, unaltered form, before any modification.

noise-free speech

Indicates that the speech is free from background noise or interference.

pristine speech

Implies that the speech is in its purest, most unadulterated form.

undistorted speech

Focuses on the absence of any alterations or corruption in the speech signal.

pure speech

Emphasizes the absence of noise or interference.

enhanced speech

Although seemingly contradictory, it could refer to speech that has been cleaned up from noise.

unmodified speech

Refers to speech that has not been changed or altered in any way.

isolated speech

Implies speech that is free from other interfering sounds or signals.

FAQs

How is "clean speech" used in audio processing?

In audio processing, "clean speech" refers to a speech signal that has been processed to remove or reduce noise, reverberation, or other distortions. The goal is to obtain a signal that is as close as possible to the original, /s/unprocessed+speech.

What are the applications of "clean speech"?

"Clean speech" is essential in various applications, including speech recognition systems, hearing aids, telecommunications, and audio recordings. It enhances the intelligibility and quality of speech, improving the performance of these systems.

What are some techniques used to obtain "clean speech"?

Several techniques can be used to obtain "clean speech", including noise reduction algorithms, spectral subtraction, Wiener filtering, and deep learning-based methods. These techniques estimate and remove the noise or distortion components from the noisy speech signal.

Is "clean speech" always better than unprocessed speech?

While "clean speech" aims to improve the quality of speech, it's not always better than /s/unprocessed+speech. Over-processing can introduce artifacts or distortions, making the speech sound unnatural. The goal is to strike a balance between noise reduction and speech quality.