On improving speech intelligibility in automotive hands-free systems

Bauer, Patrick; Jung, Marc-André; Qi, Junge; Fingscheidt, Tim

doi:10.1109/isce.2010.5522703

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…Consequently, 3 out of 5 ABEs reached a higher MOS than GSM-EFR. The fact that ABEs may reach higher scores than GSM-EFR is confirmed by other subjective tests (paired comparison and ACR type, see [4][5] [9]).…”

Section: Discussionmentioning

confidence: 65%

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Speech quality prediction for artificial bandwidth extension algorithms

Möller

Kelaidi²,

Köster³

et al. 2013

Interspeech 2013

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During the transition period from narrowband to wideband speech transmission services, Artificial Bandwidth Extension (ABE) algorithms are able to reduce the perceptual degradation of narrowband-transmitted speech signals by extending the audio bandwidth. In this paper, we analyze whether the resulting speech quality can be predicted reliably with instrumental models. Estimations from the new ITU standard POLQA, its predecessor WB-PESQ and the diagnostic DIAL model are compared to subjective listener judgments. This comparison reveals that the instrumental measures are not fully able to cope with ABE-processed speech, particularly in predicting ABE rank orders reliably. Reasons for this finding and corresponding diagnoses are discussed.

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Section: Discussionmentioning

confidence: 65%

“…Two out of the five evaluated ABE algorithms are based on a phoneme-specific Hidden Markov Model (HMM) training acc. to [20], which provides an intelligibility gain on critical fricatives [9] [10]. Both ABE versions exclusively perform highband extension.…”

Section: Abe Algorithmsmentioning

confidence: 99%

Speech quality prediction for artificial bandwidth extension algorithms

Möller

Kelaidi²,

Köster³

et al. 2013

Interspeech 2013

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“…For the remaining fricatives, there is almost no PER difference between NB and ABWE. A former study with normal-hearing German subjects based on English VCV syllables pointed out a PER reduction of 8.9 % for ABWE relative to NB at 20 dB SNR [17]. It involved four comparable unvoiced center fricatives and their voiced counterparts.…”

Section: Resultsmentioning

confidence: 95%

“…ABWE algorithms tend to confuse them, which results in artifacts [14,15]. We therefore proposed a phonetically trained ABWE [16] in order to reduce these undesired effects, leading to an improved intelligibility of meaningless English syllables in [17].…”

Section: Introductionmentioning

confidence: 99%

Impact of hearing impairment on fricative intelligibility for artificially bandwidth-extended telephone speech in noise

Bauer

Jones

Fingscheidt

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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Because of its limited bandwidth, telephone speech is poorly intelligible. Artificial bandwidth extension (ABWE) reconstructs the missing frequencies aiming at, e.g., higher intelligibility. It was recently demonstrated that hearing-impaired persons wearing a hearing aid benefit from ABWE-enhanced telephone speech. However, it is unclear, whether persons without hearing impairment also take profit from ABWE in the same test conditions and if so, to what extent. This paper presents a subjective listening test with normal-hearing subjects based on meaningless German syllables simulating narrowband (NB), ABWE-enhanced and wideband (WB) telephone speech in two noisy listening conditions. The test results reveal a clear impact of hearing impairment on the ABWE capability to improve telephone intelligibility. For a signal-to-noise ratio (SNR) of 0 dB, subjects with and without hearing impairment similarly benefit from ABWE. At 20 dB SNR, hearing-impaired subjects take even more profit in contrast to normal-hearing subjects.

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“…These methods will be referred to as UB-ABE in this work. They mostly aim at improving speech quality, but some studies also reported an increased speech intelligibility [6]- [9]. The majority of UB-ABE approaches make use of the source-filter model for speech production by splitting the estimation task into two simpler estimation tasks, namely estimation of an UB excitation (a.k.a.…”

Section: Introductionmentioning

confidence: 99%

Sinusoidal-Based Lowband Synthesis for Artificial Speech Bandwidth Extension

Abel

Fingscheidt

2019

IEEE/ACM Trans. Audio Speech Lang. Process.

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Conventional narrowband (NB) telephony suffers from limited acoustic bandwidth at the receiver side, leading to degraded speech quality and intelligibility. In this paper, artificial speech bandwidth extension (ABE) of NB speech toward missing frequencies below about 300 Hz (low-frequency band, LB) is proposed to enhance the speech quality. The LB-ABE in this paper is employed together with a preexisting ABE toward high-frequency components to obtain spectrally balanced speech signals. In an instrumental quality assessment, the spectral distance in the LB was improved by more than 5 dB compared to NB speech. In a subjective listening test, the gap of speech quality between wideband and NB speech was significantly reduced when employing the proposed ABE toward low frequencies. The LB extension was found to further improve the preexisting ABE toward higher frequencies by a significant 0.26 CMOS points.

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On improving speech intelligibility in automotive hands-free systems

Cited by 6 publications

References 5 publications

Speech quality prediction for artificial bandwidth extension algorithms

Speech quality prediction for artificial bandwidth extension algorithms

Impact of hearing impairment on fricative intelligibility for artificially bandwidth-extended telephone speech in noise

Sinusoidal-Based Lowband Synthesis for Artificial Speech Bandwidth Extension

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