Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Aliasing

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...

Bandpass Sampling

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...

Determination of Expected Frequency

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...

Properties of Fourier Transform I

Properties of Fourier Transform I

The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...

IR Frequency Region: X–H Stretching

IR Frequency Region: X–H Stretching

In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of 2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Development and Validation of Modified Basic English Lexicon Sentences for Use With a Pediatric Population.

American journal of audiology·2026

Same author

Sensitivity to interaural phase as a function of frequency: Age effects measured with behavioral and electrophysiological tasks.

The Journal of the Acoustical Society of America·2026

Same author

Cochlear Implant Recipients With Electrodes in the Acoustic Region: Long-Term Hearing Preservation.

The Laryngoscope·2026

Same author

Cross-frequency interactions in band importance functions.

The Journal of the Acoustical Society of America·2026

Same author

Spectral weights for localization and speech-in-speech recognition: Does phonemic content of speech targets matter?

Proceedings of meetings on acoustics. Acoustical Society of America·2026

Same author

The Effect of Diverse Linguistic Experience on Second Language-Accented English Sentence Recognition Among Monolingual and Spanish-English Bilingual Children and Adults.

Journal of speech, language, and hearing research : JSLHR·2025

Search research articles

Related Experiment Video

Updated: Oct 16, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Band importance for speech-in-speech recognition.

Emily Buss¹, Adam Bosen²

¹Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.

JASA Express Letters

|October 18, 2021

Summary

This study introduces a new method to estimate speech intelligibility in complex auditory scenes. Lower frequencies (below 2 kHz) appear crucial for understanding speech in two-talker conversations.

More Related Videos

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Oct 16, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Area of Science:

Auditory Neuroscience
Speech Perception
Signal Processing

Background:

Estimating speech intelligibility often uses spectral cue distribution.
Existing methods using filtered stimuli are unsuitable for speech-in-speech due to auditory stream segregation effects.

Purpose of the Study:

Develop a novel method to estimate band importance for speech perception in speech-masking conditions.
Investigate the contribution of different frequency bands to speech recognition in two-talker scenarios.

Main Methods:

Quantified the relationship between speech recognition accuracy and target-to-masker ratio by channel.
Utilized an auditory filterbank for full-spectrum speech stimuli.
Compared speech-in-speech masking with speech-shaped noise masking.

Main Results:

The proposed method successfully estimated band importance for speech perception.
Frequencies below 2 kHz showed a greater contribution to speech recognition in two-talker masking compared to speech-shaped noise.

Conclusions:

The new approach provides a viable method for estimating band importance in complex masking scenarios.
Low-frequency information is particularly important for speech intelligibility in multi-talker environments.