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How MED-EL Cochlear Implant Design Supports Speech Understanding in Noise

Catching every syllable of a person talking in a crowded place is a challenging task for CI users. MED-EL supports understanding of speech in noise (SIN) through a unique, synergistic design pathway: long electrodes for apical stimulation, fine structure signal processing on low-frequency channels, anatomy-based fitting (ABF) for individualized place-pitch alignment, adaptive sound management for listening comfort and ease, and long-term rehabilitation.

Speech understanding in noise in a restaurant setting

Speech Understanding in Noise: What Natural Hearing Teaches Us

Normal-hearing listeners do not simply rely on speech being louder than background noise. They combine spectral resolution, temporal envelope cues, temporal fine structure, binaural timing and level differences, spatial separation, and auditory scene analysis to follow one voice among competing sounds.

Temporal fine structure and binaural cues are particularly important when speech and noise come from different directions because they support spatial hearing, source separation, and release from masking. Despite this, even normal hearing people have trouble understanding speech in considerable noise.[1][2]

This is why everyday listening is demanding for cochlear implant users. Restaurants, classrooms, offices, group conversations, and family gatherings require more than audibility; they require meaningful speech cues, stable pitch-place information, efficient front-end processing, and, whenever possible, binaural integration. MED-EL’s CI design targets several of the same mechanisms normal-hearing listeners use in noise: temporal detail, apical low-frequency stimulation, anatomy-aligned place-pitch representation, complete cochlear coverage, adaptive signal processing, listening comfort, and long-term auditory learning.[1][2]

MED-EL Advantages for Speech Understanding in Noise

What are the main aspects and design elements of MED-EL cochlear implants when it comes to better speech understanding in noise? And how are they beneficial for our CI users?

Fine-Structure Processing: Supporting Temporal Detail Where It Matters

Temporal fine structure contributes to pitch perception, spatial hearing, and aspects of speech understanding in complex listening environments. FineHearing, MED-EL’s fine structure processing technology, provides timing information on low-frequency channels, where temporal cues are especially relevant for pitch, sound quality, and spatial hearing. MED-EL is the only CI manufacturer worldwide to offer a frequency-dependent sound coding strategy for phase-locked stimulation in the second turn of the cochlea as in natural hearing.

Anatomy-Based Fitting: Aligning Stimulation With the Individual Cochlea

Anatomy-based fitting is unique to MED-EL and uses each electrode contact’s intracochlear position to achieve a more exact frequency-to-place match and align electrical stimulation closely with natural cochlear tonotopy.

This matters in noise because competing sounds make accurate spectral and pitch-related cues more important. Kurz et al. (2023) found that in experienced bilateral CI users, anatomy-based maps improved speech understanding in quiet and noisy environments compared with conventional clinically based cochlear implant mapping.[8]

A recent study with experienced single-sided deaf (SSD) CI users by Kurz et al. (2025) showed that anatomy-based fitting significantly improved speech perception in noise compared with conventional fitting; all users chose to keep the anatomy-based map at the end of the study.[9]

Anatomy-Based Fitting: A New Tool for Improving Place-Pitch Match and speech understanding in noise

Anatomy-based fitting in MAESTRO provides for better place-pitch match

Long Electrode Arrays and Anatomy-Aligned Hearing

MED-EL’s long electrode arrays support wide cochlear coverage and create an anatomical foundation for individualized frequency allocation that is in line with natural tonotopicity. According to Alothman et al. (2023), in pediatric CI users implanted with FLEX 28 arrays, cochlear coverage was a significant positive predictor of speech discrimination score. Children with coverage above the study mean had significantly better speech discrimination than those with lower coverage.[4] Electrode placement has also been studied as a contributor to hearing performance in bilaterally implanted adults.[5]

The Synergy: Apical Stimulation, Fine Structure, and Anatomy-Based Fitting

The strongest MED-EL design story emerges when these elements are considered together. Long electrode arrays can support access to more apical cochlear regions, which are associated with lower-frequency information. FineHearing targets temporal information on low-frequency channels. Anatomy-Based Fitting then aligns frequency allocation with the actual intracochlear position of each electrode contact.

This combination directly targets mechanisms used by normal-hearing listeners in noise: low-frequency temporal information, pitch-related cues, spatial organization, and reduction of place-pitch mismatch.[1][2][8]

Clinical evidence supports this combined logic. ABF showed benefits for speech understanding in noise, and experienced bilateral CI users were more likely to accept anatomy-based maps when their electrode array was inserted deeply enough to stimulate the apical cochlear region. Thus, the synergy is not simply longer electrodes, fine-structure coding, or fitting alone; it is the combination of apical access, temporal coding, and anatomy-based mapping.[8][9]

Signal Processing for Challenging Listening Environments

Speech in real life is spatially complex. MED-EL processors address this through directional microphone processing, ambient noise reduction, transient-noise reduction, and automatic sound management. In SONNET users, fixed and adaptive beamforming significantly improved speech reception thresholds compared with omnidirectional settings, with reported benefits of approximately 4.3 dB and 6.1 dB.[6]

In SONNET 2, Automatic Sound Management 3 improved speech perception in multiple noise conditions, including spatially distributed noise; dedicated ambient noise reduction evidence also showed significant speech recognition improvements in selected stationary and fluctuating noise conditions.[7][10]

Machine-learning based signal classification is used to adapt this suite of signal enhancing techniques to the specific sound signal that is heard by the CI user at a certain moment in time.

Supporting Lower Listening Effort and Communication Comfort

For CI users, better hearing in noise is not only about speech perception scores; it is also about the effort needed to follow a conversation. A SONNET 2 Automatic Sound Management 3 study by Kurz et al. (2022) showed that users tolerated lower signal-to-noise ratios (SNR) in listening-effort categories when using noise-management features and preferred these configurations in stationary and transient noise.[7]

Long-Term Development Through Use, Fitting, and Rehabilitation

Speech understanding in noise develops over time. CI users learn to interpret electric stimulation, clinicians optimize fittings, and rehabilitation supports auditory adaptation. MED-EL’s design advantages—fine-structure coding, anatomy-based fitting, wide cochlear coverage, and adaptive sound management—provide meaningful input, but the brain needs experience to use that input effectively.

In the CUHL (Childhood Unilateral Hearing Loss) Trial, over a period of 12 months, children improved in speech perception in noise across head shadow, summation, and squelch configurations, and also experienced better localization and SSQ outcomes as well as reduced listening effort. Training using directly streamed audio was accepted and associated with improvements in word recognition and parent-reported hearing outcomes in children with SSD.[11][12]

MED-EL offers a wide range of materials and comprehensive support for rehabilitation and auditory training after cochlear implantation.

Special Relevance for SSD and Asymmetric Hearing Loss

These design advantages are relevant for all CI users, but they may be especially important for users with single-sided deafness (SSD) and asymmetric hearing loss (AHL). SSD and AHL limit balanced binaural input and reduce access to the head-shadow benefit, binaural summation, the squelch effect, localization, and spatial release from masking—the same mechanisms normal-hearing listeners rely on when speech and noise are spatially separated.

Clinical studies show meaningful benefit: Wesarg et al. (2024) evaluated cochlear implantation in adults with SSD and AHL in a European multicenter study; Oyamada et al. (2023) found better speech perception in noise and localization with CI than with CROS hearing aids in SSD; and Tavora-Vieira and Wedekind (2022) reported significant improvements in speech-in-noise configurations, localization, quality of life, and tinnitus outcomes in adult SSD CI users. Kurz et al. (2025) showed improved performance with anatomy-based fitting.[9][13][14][15]

Excellent Speech Understanding in Noise by Design

Achieving excellent speech understanding in noise with CIs requires a combination of several technologies that need to work together seamlessly:

  • Individualized electrodes that are long enough to reach all tonotopic frequencies
  • Fine structure coding for temporal information in the apical region just as in natural hearing
  • Anatomy-based fitting to match stimulated pitch with the corresponding place in the cochlea

All these technologies are unique to MED-EL cochlear implants. Through our synergetic design pathway we provide closest to natural hearing and excellent speech understanding in noise for all our CI users, with potential additional advantages for users with SSD and AHL where binaural access and spatial hearing are especially critical.[3][8][9]

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References

  • [1]

    Drennan WR, Won JH, Dasika VK, Rubinstein JT. Effects of temporal fine structure on lateralization of speech and speech understanding in noise. J Assoc Res Otolaryngol. 2007;8:373-383.

  • [2]

    Locsei G, Pedersen JH, Laugesen S, Santurette S, Dau T, MacDonald EN. Temporal fine-structure coding and lateralized speech perception. Trends Hear. 2016;20:2331216516660962.

  • [3]

    Müller J, Brill S, Hagen R, et al. Clinical trial results with the MED-EL Fine Structure Processing coding strategy in experienced CI users. ORL. 2012;74:185-198.

  • [4]

    Alothman N, Almuhawas F, Badghaish R, et al. Cochlear implantation in pediatrics: the effect of cochlear coverage. J Pers Med. 2023;13:562.

  • [5]

    De Seta D, Nguyen Y, Bonnard D, et al. The role of electrode placement in bilateral simultaneously cochlear-implanted adult patients. Otolaryngol Head Neck Surg. 2016;155:485-493.

  • [6]

    Honeder C, Liepins R, Arnoldner C, et al. Fixed and adaptive beamforming improves speech perception in noise in MED-EL SONNET users. PLoS ONE. 2018;13:e0190718.

  • [7]

    Kurz A, Rak K, Hagen R. Improved performance with Automatic Sound Management 3 in the MED-EL SONNET 2 processor. PLoS ONE. 2022;17:e0274446.

  • [8]

    Kurz A, Herrmann D, Hagen R, Rak K. Using Anatomy-Based Fitting to reduce frequency-to-place mismatch in experienced bilateral CI users. J Pers Med. 2023;13:1109.

  • [9]

    Kurz A, Herrmann D, Müller-Graff FT, et al. Anatomy-based fitting improves speech perception in noise for CI recipients with SSD. Eur Arch Otorhinolaryngol. 2025;282:467-479.

  • [10]

    Müller V, Ukuwait A, Frößler K, Lang-Roth R. Effect of ambient noise reduction on speech recognition and listening effort in noise in MED-EL CI users. Int J Audiol. 2025;64:1106-1113.

  • [11]

    Brown KD, Dillon MT, Park LR. Benefits of cochlear implantation in childhood unilateral hearing loss. Laryngoscope. 2022;132:S1-S18.

  • [12]

    Muck S, Magele A, Wirthner B, Schoerg P, Sprinzl GM. Effects of Auditory Training on Speech Recognition in Children with Single-Sided Deafness and Cochlea Implants Using a Direct Streaming Device. J Pers Med. 2023;13:1688.

  • [13]

    Oyamada S, Takahashi M, Furutate S, et al. Speech perception in noise and localization for CI with SSD compared with CROS hearing aids. Otol Neurotol. 2023;44:331-338.

  • [14]

    Tavora-Vieira D, Wedekind A. Single-sided deafness: functional hearing and effects of cochlear implantation. Otol Neurotol. 2022;43:1116-1124.

  • [15]

    Wesarg T, Aschendorff A, Baumgärtel R, et al. Cochlear implantation in SSD and AHL: 12-month European multicenter results. J Int Adv Otol. 2024;20:289-300.

References

Peter Nopp
Ilona Anderson

Peter Nopp

Peter Nopp is the Director of Research – Signal Processing at MED-EL. He holds a PhD in Electrical Engineering from the Technical University of Vienna (Austria). With more than 30 years of professional experience in the field of cochlear implant technology, Nopp is a leading expert in front-end signal processing, sound coding strategies, and fitting algorithms.

Ilona Anderson

Ilona Anderson is the Corporate Director of Clinical Research at MED-EL. She manages pre-market and post-market studies, clinical evaluations for updates and recertifications, and supports journal writing activities. Anderson trained as an Audiologist and Speech Language Pathologist at the University of Witwatersrand (South Africa). She completed her PhD in Medical Science at the University of Antwerp (Belgium) and her MBA in Leadership and Sustainability at the University of Cumbria (UK). She is an author on over 70 publications.

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Peter Nopp
Ilona Anderson

Peter Nopp

Peter Nopp is the Director of Research – Signal Processing at MED-EL. He holds a PhD in Electrical Engineering from the Technical University of Vienna (Austria). With more than 30 years of professional experience in the field of cochlear implant technology, Nopp is a leading expert in front-end signal processing, sound coding strategies, and fitting algorithms.

Ilona Anderson

Ilona Anderson is the Corporate Director of Clinical Research at MED-EL. She manages pre-market and post-market studies, clinical evaluations for updates and recertifications, and supports journal writing activities. Anderson trained as an Audiologist and Speech Language Pathologist at the University of Witwatersrand (South Africa). She completed her PhD in Medical Science at the University of Antwerp (Belgium) and her MBA in Leadership and Sustainability at the University of Cumbria (UK). She is an author on over 70 publications.