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Brazilian Journal of Otorhinolaryngology

Print version ISSN 1808-8694On-line version ISSN 1808-8686

Braz. j. otorhinolaryngol. vol.81 no.4 São Paulo July/Aug. 2015 

Original Articles

Hearing in Noise Test Brazil: standardization for young adults with normal hearing ☆☆

Andressa Forlevise Sbompato1 

Lilian Cassia Bornia Jacob Corteletti1 

Adriane de Lima Mortari Moret1 

Regina Tangerino de Souza Jacob1  * 

1Audiology and Speech Pathology Department, Faculdade de Odontologia de Bauru, Universidade de São Paulo (USP), Bauru, SP, Brazil



Individuals with the same ability of speech recognition in quiet can have extremely different results in noisy environments.


To standardize speech perception in adults with normal hearing in the free field using the Brazilian Hearing in Noise Test.


Contemporary, cross-sectional cohort study. 79 adults with normal hearing and without cognitive impairment participated in the study. Lists of Hearing in Noise Test sentences were randomly in quiet, noise front, noise right, and noise left.


There were no significant differences between right and left ears at all frequencies tested (paired t - 1 test). Nor were significant differences observed when comparing gender and interaction between these conditions. A difference was observed among the free field positions tested, except in the situations of noise right and noise left.


Results of speech perception in adults with normal hearing in the free field during different listening situations in noise indicated poorer performance during the condition with noise and speech in front, i.e., 0°/0°. The values found in the standardization of the Hearing in Noise Test free field can be used as a reference in the development of protocols for tests of speech perception in noise, and for monitoring individuals with hearing impairment.

Key words: Speech perception; Adult; Noise; Hearing loss



Indivíduos com as mesmas habilidades de reconhecimento de fala no silêncio podem apresentar resultados extremamente diferentes em ambientes ruidosos.


Padronizar a percepção da fala em adultos com audição normal em campo livre no Hearing in Noise Test Brazil.


Estudo de coorte contemporâneo com corte transversal. Participaram 79 adultos com audição dentro dos padrões de normalidade (normo-ouvintes), sem alterações cognitivas. Foram aplicadas aleatoriamente listas de sentenças do HINT no silêncio, ruído à frente, ruído à direita, ruído à esquerda.


Não houve diferença significativa entre orelhas para todas as frequências testadas, sexo e interação entre as condições. Observou-se diferença entre as condições testadas, exceto entre as situações de ruído à direita e ruído à esquerda.


Os resultados da percepção da fala em adultos com audição normal em campo livre em diferentes situações de escuta no ruído indicaram pior desempenho na situação ruído e fala à frente, ou seja, 0°/0°. Os valores encontrados na padronização do HINT em campo livre poderão ser utilizados como referência na construção de protocolos para utilização de testes de percepção da fala no ruído e no acompanhamento de indivíduos com deficiência auditiva.

Palavras-Chave: Percepção da fala; Adulto; Ruído; Perda auditiva


Speech perception in noise

Speech recognition is essential for social integration, as it enables efficient interpersonal communication. The ability to understand speech in the presence of background noise is a major challenge for any listener, especially for those with hearing impairment.1 The evaluation of this skill should be considered a very important aspect to be measured in human auditory function, as it allows for evaluation of receptive communicative function, providing data on how the subject functions in everyday listening situations, by means of easily quantifiable information.2 and 3 Speech is an acoustic signal in which information is transmitted by means of changes of frequency, intensity, and time. The normal auditory system has the inherent ability to identify, process, and encode this information.4 and 5 The aspects of variability in speech are well known, namely: speaker's gender, rate of speech, dialect, vocabulary, and grammatical complexity.6 Thus, at the time of assessment, factors such as the type and level of presentation of the material and of its response, and listener characteristics, including language and listening experience, can directly affect the outcome.7 , 8 and 9

In daily life, many communicative situations occur in environments where listening is impaired by the presence of competitive noise.4 and 10 Because of this, and knowing that the same patient may have very different abilities for speech recognition in a quiet environment than in a noisy one, it is important to emphasize testing in a noisy environment.3 and 11

In order to measure a patient's hearing difficulties, the phonoaudiologist needs to resort to a battery of tests that not only will allow the identification of a potential hearing loss, but also will analyze the understanding of auditory stimuli, including speech in clinical situations and mainly under conditions close to those found in everyday life.12

Research shows that patients with normal hearing have their speech perception affected by environmental noise.3 , 9 , 13 and 14 Complaints of difficulty understanding speech in the presence of noise have become increasingly common, whether or not some hearing impairment exists.15 To assess and diagnose the impairment of hearing capacity of an individual, several tests are used in clinical practice. However, these tests are unable to detect the patient's functional ability to perceive and understand speech in noisy environments, as these tests are applied in quiet environments.3

In Brazil, speech-in-noise tests are not yet part of the conventional audiologic battery; the comparison of performance, in quiet and in noisy environments, is not often performed, based on protocols already standardized. In addition, few studies indicate the perception-of-speech performance in noisy environments expected for adults with normal hearing in the free field, especially with the values obtained in the Hearing in Noise Test (HINT).1 , 16 and 17

HINT is a speech recognition in noise test simulating hearing situations similar to everyday life, and is available in several languages, including Brazilian Portuguese.18

HINT assesses the auditory function by measuring the signal/noise (S/N) ratio for sentences in a quiet environment and in three noise conditions: (a) noise in front (speaking in front and noise at 0° azimuth); (b) noise to the right (speaking in front and noise at 90° to the right), and (c) noise to the left (speaking in front and noise at 90° to the left). The HINT test consists of 12 lists of 20 sentences each, totaling 240 representative sentences of everyday speech. The sentences are short, phonemically balanced, easy to understand, and with the same degree of difficulty.16 However, for its validation, the HINT-Brazil was applied only via supra-aural headset, i.e., the results were not assessed in free field conditions. 18 Thus, its application is not feasible for users of individual hearing aids and/or with cochlear implants. In contrast, many international studies use HINT in free field conditions to assess the performance and specific characteristics of auxiliary hearing devices. 19 , 20 , 21 , 22 and 23

Calibration of the test environment

The variables that affect in-noise speech recognition can be divided into categories and subcategories: variables from stimulus used - style and content of the sentences, in-noise intelligibility level, type of noise and loudspeaker; variables of stimulus presentation - method, transducer; subject variables - hearing loss, auditory processing, age, language, cognition; subject's response variables - response channel, classification method; variables of subject's performance - reliability, validity, sensitivity and specificity. It would be helpful to understand the variables affecting speech recognition in order to guide the development of new tests and also to identify factors that could explain results that deviate from those already documented.1

The calibration of the free field should be estimated in situ, since the results obtained by different researchers vary widely; this variation is justified by a number of aspects that can interfere with the measurements and that, therefore, should be considered, such as room size, acoustic conditions, whether or not a reflective surface exists, level of reverberation, calibration, and even the number of people within the test environment. 11 and 24

Thus, it is emphasized that it is critical for the evaluator to have his/her own parameter for the test site; the evaluator also must consider the situation in which the test is being conducted.12 Authors point to the need for harmonization of in-noise assessments in different languages, to strengthen the clinical practice based on evidence in the audiological community.25 In order to calibrate the in-noise test in the free field and to compensate for the acoustic effects of the environment, it is recommended that the implementation of HINT be performed first in individuals with normal hearing.24

Based on these considerations, this study aimed to standardize the application of the HINT-Brazil in the free field in normal hearing adult subjects.


This was a cross-sectional study, conducted at the Educational Audiology Laboratory in 2011, with approval by the Research Ethics Committee (Protocol 129/2010).

In this study, only individuals who agreed with the procedures necessary for conducting the examination and who signed the informed consent, after having received information on the purpose and methodology of the proposed study, were enlisted.

The adopted inclusion criteria were: age between 18 and 59 years, audiometric thresholds within normal limits,26 and absence of ear wax plug or other changes in the external or middle ear which could modify the test performance.

The sample was selected by convenience and consisted of 79 adult subjects, 29 males and 50 females, aged 19-44 years (mean, 24 years).

The audiological evaluation occurred following an otoscopic examination performed by the Service's otolaryngologist, and consisted of pure tone audiometry by air conduction at frequencies of 250-8000 Hz. To obtain these measures, a digital two-channel audiometer (Madsen, model Midimate 622) was used, along with TDH35 supra-auricular headphones. The test was conducted in a soundproof booth.

To assess the in-noise speech perception, the following equipment was used: the HINTPro 7.2 Audiometric System; two stereo loudspeakers for the free field; a computer with CD recorder; printer; and a sound-treated room.

The test was conducted in the free field condition in a sound-treated room, according to the HINTPro 7.2 Audiometric System operating instructions manual. HINTPro consists of equipment with interface connected to the computer, which permits the use of HINT. The installation of the specific software for the test on the computer is required, and the free field stereo loudspeakers were coupled to HINTPro 7.2.

Each list of 20 sentences was applied in the following situations: quiet (Q), noise front (NF), noise right (NR), and noise left (NL) and compound noise (CN). The sentences were presented at 0-0° azimuth, and the level of presentation was initially set at 45 dBA, and varied in steps of 4 dB and 2 dB, according to the correct repetition of the level.

However, the competitive noise was introduced at 0-0°, 0-90°, 0-180°, and 0-270° azimuth, at a fixed intensity of 65 dBA.27 The lists of sentences and the order of noise presentation were selected and presented randomly. The score was expressed in dB, representing the S/N ratio threshold.

For data analysis, the paired t-test and two-way ANOVA were used.


There was no significant difference among ears, gender, and interaction among conditions. We did observe a difference among the conditions tested (Table 1).

Table 1  Results obtained in different noise conditions. Equal letters indicate no significant difference. 

Condition Mean (dBNA) SD
Quiet 10.3a
NL -6.47b 1.55
NR -6.46b 1.63
CN -4.83c 0.80
NF -3.20d 0.89

NL, noise left; NR, noise right; CN, composite noise; NF noise front; SD, standard deviation.


The subjects of this study reported no difficulty undertaking the test; they understood the instructions and performed properly.

As shown in Table 1, the mean values obtained for the in-noise speech recognition threshold (SRT - HINT Brazil) ranged from -6.47 to -3.20 for different listening situations. The literature contains two studies16 and 24 that describe the perception of speech in-noise performance expected for adults with normal hearing in the same listening situation - in the free field. The first study16 proposes values approaching those findings of this study for all test conditions, while the other24 found better results; this can be explained by the fact that the characteristics of the speech material and of the individuals who participated in the test can affect intelligibility. These characteristics include the words' phonetic similarity, the rate of speech and the clarity of the speaker, the naturalness of the speaker's voice, the gender of the subject, and his/her dialect.24 and 28

The language skills of the listener interact with grammatical and lexical properties of the material (speech). Likewise, the listener's cognitive and memory abilities interact with the complexity and duration of the discourse. In addition, the age at which the language was acquired and the primary or secondary status of the language affect its intelligibility.24 Different speakers who speak in different languages and tones are used to record the HINT sentences.

Therefore, the masking effects on a particular speech sample by spectral noise are unpredictable, contributing to an unwanted source of variability in threshold measures.24 Another factor that can interfere in the results is the calibration for the free field in situ, with different conditions from one test to another. In a study on speech recognition in the free field, and also based on the literature review, it was found that the present results were different from those of other studies, 12 , 16 and 24 possibly because of variables that can be found in the evaluation of the free field environment, such as room size, acoustic conditions, whether or not a reflective surface exists, as well as reverberation and calibration levels. 10One of these studies was not conducted in Brazil. 24

The worst S/N ratio is obtained when the speech and noise are in the same position, explaining the results found for NF. According to the literature, the highest (worst) thresholds occur when speech and noise are presented at the same location, that is, speech and noise at 0° in front of the subject. The results are better when speech and noise are separated by an angle of 90°, with speech at 0° in front of the individual, and the noise to the right or to the left at 90°,24 the best reported results are seen when the noise and speech conditions are separated by 90°, with speech at 0° in front of the assessed individual and the noise at 90° to the right or to the left of the subject,3 , 16 and 29 which corroborates the findings of the present study.

The statistical difference between S/N ratios obtained at 0-0° in relation to those obtained with the noise positioned at 0-90° occurs because, when moving the sound from the in-front position to the lateral position in relation to the subject assessed, the sound stimulus presented laterally is not equally perceived by both ears, contrary to what occurs when the sound source is located in front of the subject. This difference in perception is due to the presence of interaural time and intensity differences, that occur when speech and noise sources are spatially separated.7 and 29

Importantly, the results of the compound noise (CN) are generated automatically by the HINTPro software, according to the formula RC = (2 × NF + NR + NL)/422. Although age per se is not an essential factor in speech perception, there are reports in the literature of performance deterioration in speech perception with increasing age - in association with the natural aging process. 1 Considering that the present study group was composed of young adults (between 19 and 44 years, mean 24 years), future studies with older groups of adults or even with elderly patients would be welcome.

Subjects of both genders and with ages between 18 and 50 years took part in the standardization of HINT Brazil18 using headsets. In tests performed in-noise, the authors consider questionable the need for adjustments with the introduction of visual cues for the older population, even if only for previous training to the test application, since, when the stimulus is given only by ear, older adults demonstrate less poor performances in speech recognition, when compared to young adults or even to normal hearing individuals.30 and 31 The same occurs when only visual cues are used.30 , 32 and 33 Overall, regardless of age, it is common that in difficult listening situations the listener performs lip reading to facilitate his/her understanding.30 and 34


Values were developed for the standardization of HINT in the free field during different listening situations in a noisy environment. The results of speech perception in adults with normal hearing showed worse performance in the situation of NF, i.e., 0-0°.

These results could be used as a reference in the construction of protocols for use of speech perception tests in noise, and in monitoring individuals with hearing loss.




Theunissen M, Swanepoel DW, Hanekom J. Sentence recognition in noise: variables in compilation and interpretation of tests. Int J Audiol. 2009;48:743-57. [ Links ]

Soncini F, Costa MJ, Oliveira TMT, Lopes LFD. Correlaçao entre os limiares de reconhecimento de sentenças no silêncio e limiares tonais. Rev Bras Otorrinolaringol. 2003;69:672-7. [ Links ]

Jacob RTS, Monteiro NFG, Molina SV, Bevilacqua MC, Lauris JRP, Moret ALM. Speech perception in children under noisy situa- tions. Arq Int Otorrinolaringol. 2011;15:163-7. [ Links ]

Henriques MO, Costa MJ. Reconhecimento de sentenças no ruído, em campo livre, em indivíduos com e sem perda auditiva. Rev CEFAC. 2011;13:1040-7. [ Links ]

Gatehouse S, Robinson K. Testes fonológicos como mensurações do processo auditivo. In: Martin M, editor. Logoaudiometria. 2nd ed. Sao Paulo: Ed. Santos; 2005. p. 74-87. [ Links ]

Soli SD. Some thoughts on communication handicap and hearing impairment. Int J Audiol. 2008;47:285-6. [ Links ]

Henriques MO, Costa MJ. Limiares de reconhecimento de sentenças em indivíduos normo-ouvintes na presença de ruído incidente de diferentes ângulos. Rev Soc Bras Fonoaudiol. 2011;16:54-8. [ Links ]

Ruscetta MN, Arjmand EM, Pratt SR. Speech recognition abilities in noise for children with severe-to-profound unilateral hearing impairment. Int J Pediatr Otorhinolaryngol. 2005;69:771-9. [ Links ]

Markham D, Hazan V. The effect of talker- and listener-related factors on intelligibility for a real-word, open-set perception test. J Speech Lang Hear Res. 2004;47:725-37. [ Links ]

Wilson RH, Strouse AL. Audiometria com estímulos de fala. In: Musiek FE, Rintelmann WF, editors. Perspectivas atuais em avaliaçao auditiva. Barueri: Manole; 2001. p. 21-56. [ Links ]

Fallon M, Trehub SE, Schneider BA. Children's perception of speech in multitalker babble. J Acoust Soc Am. 2000;108:3023-9. [ Links ]

Henriques MO, Miranda EC, Costa MJ. Limiares de reconhecimento de sentenças no ruído, em campo livre: valores de referência para adultos normo-ouvintes. Rev Bras Otorrinolaringol. 2008;74:188-92. [ Links ]

Gravel JS, Fausel N, Liskow C, Chobot J. Children's speech recognition in noise using omni-directional and dual- microphone hearing aid technology. Ear Hear. 1999;20:1-11. [ Links ]

Uziel AS, Sillon M, Vieu A, Artieres F, Piron JP, Daures JP, et al. Ten-year follow-up of a consecutive series of children with multichannel cochlear implants. Otol Neurotol. 2007;28:615-28. [ Links ]

Henriques MO [dissertaçao] Limiares e índices percentuais de reconhecimento de sentenças no ruído, em campo livre, para indivíduos adultos. Santa Maria: UFSM; 2006. Available from: ]

Arieta AM [dissertaçao] Teste de percepçao de fala HINT Brasil, em normo-ouvintes e usuários de aparelhos auditivos - atençao à saúde auditiva. Campinas: UNICAMP; 2009. Available from: ]

Garcia TM [dissertaçao] Percep¸cão da fala e qualidade de vida em usuários de adaptação aberta/. Bauru: FOB/USP; 2014. [ Links ]

Bevilacqua MC, Banhara MR, da Costa EA, Vignoly AB, Alvarenga KF. The Brazilian Portuguese hearing in noise test. Int J Audiol. 2008;47:364-5. [ Links ]

Wise CL, Zaks JA. Effects of expansion algorithms on speech reception thresholds. J Am Acad Audiol. 2008;19:147-57. [ Links ]

Alworth LN, Plyler PN, Reber MB, Johnstone PM. The effects of receiver placement on probe microphone, performance, and subjective measures with open canal hearing instruments. J Am Acad Audiol. 2010;21:249-66. [ Links ]

Kreisman BM, Mazevski AG, Schum DJ, Sockalingam R. Improvements in speech understanding with wireless binaural broadband digital hearing instruments in adults with sensorioneural hearing loss. Trends Amplif. 2010, May. Avail able from: [accessed 06.05.14]. [ Links ]

Oeding K, Valente M. Sentence recognition in noise and perceived benefit of noise reduction on the receiver and transmitter sides of a BICROS hearing aid. J Am Acad Audiol. 2013;24:980-91. [ Links ]

Wu YH, Stangl E, Bentler RA. Hearing-aid users' voices: a factor that could affect directional benefit. Int J Audiol. 2013;52:789-94. [ Links ]

Soli SD, Wong LLN. Assessment of speech intelligibility in noise with the Hearing in Noise Test. Int J Audiol. 2008;47:356-61. [ Links ]

Russo ICM, Pereira LD, Carvallo RMM, Anastásio ART. Encaminhamentos sobre a classificaçao do grau de perda auditiva em nossa realidade. Rev Soc Bras Fonoudiol. 2009;14:287-8. [ Links ]

World Health Organization. Prevention of blindness and deafness: grades of hearing impairment; 2014. Available from: ]

Bio-logics Systems Corp. HINT Pro 7.2: hearing in noise test users and service manual. Mundelein, IL: Bio-Logic Systems Corp.; 2007. [ Links ]

Picheny MA, Durlach NI, Braida LD. Speaking clearly for the hard of hearing I: Intelligibility differences between clear and conversational speech. J Speech Hear Res. 1985;28:96-103. [ Links ]

Dubno JR, Ahistrom JB, Horwitz AR. Spectral contributions to the benefit from spatial separation of speech and noise. J Speech Lang Hear Res. 2002;45:1297-310. [ Links ]

Gosselin PA, Gagné JP. Older adults expend more listening effort than young adults recognizing audiovisual speech in noise. Int J Audiol. 2011;50:786-92. [ Links ]

Committee on Hearing, Bioacoustics, and Biomechanics (CHABA). Speech understanding and aging. J Acoust Soc Am. 1988;83:859-95. [ Links ]

Campbell M, Preminger JE, Ziegler CH. The effect of age on visual enhancement in adults with hearing loss. J Acad Rehabil Audiol. 2007;40:11-32. [ Links ]

Shoop C, Binnie CA. The effects of age upon the visual perception of speech. Scand Audiol. 1979;8:3-8. [ Links ]

Grant KW, Braida LD. Evaluating the articulation index for auditory-visual input. J Acoust Soc Am. 1991;89:2952-60. [ Links ]

FundingThis study was supported by PIBIC (Programa Institucional de Bolsas de Iniciação Científica)/ RUSP (Reitoria da Universidade de São Paulo).

Please cite this article as: Sbompato AF, Corteletti LCBJ, Moret ALM, Jacob RTS. Hearing in Noise Test Brazil: standardization for young adults with normal hearing. Braz J Otorhinolaryngol. 2015;81:384-8

☆☆ Institution: Phonoaudiology Department, Faculdade de Odontologia de Bauru, Universidade de São Paulo (USP), Bauru, SP, Brazil.

Received: January 29, 2014; Accepted: July 22, 2014

* Corresponding author. E-mail: (R.T.d.S. Jacob).

Conflicts of interestThe authors declare no conflicts of interest.

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