Emma Jokinen

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 10

Top Topics

Gaussian Process Regression

Filtering Method

Noise Reduction

Top Venues

Comput. Speech Lang.

Publications

Emma Jokinen, Rahim Saeidi, Tomi Kinnunen, Paavo Alku
Vocal effort compensation for MFCC feature extraction in a shouted versus normal speaker recognition task. Comput. Speech Lang. 53 (2019)
Emma Jokinen, Ulpu Remes, Paavo Alku
Intelligibility Enhancement of Telephone Speech Using Gaussian Process Regression for Normal-to-Lombard Spectral Tilt Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 25 (10) (2017)
Emma Jokinen, Hannu Pulakka, Paavo Alku
Phase modification for increasing the intelligibility of telephone speech in near-end noise conditions - evaluation of two methods. Speech Commun. 83 (2016)
Emma Jokinen, Paavo Alku
Intelligibility Enhancement at the Receiving End of the Speech Transmission System - Effects of Far-End Noise Reduction. INTERSPEECH (2016)
Emma Jokinen, Ulpu Remes, Paavo Alku
The Use of Read versus Conversational Lombard Speech in Spectral Tilt Modeling for Intelligibility Enhancement in Near-End Noise Conditions. INTERSPEECH (2016)
Dayana Ribas, Emmanuel Vincent, John H. L. Hansen, Emma Jokinen, Mirco Ravanelli, Hannes Gamper, Fred Richardson
Discussion. INTERSPEECH (2016)
Maria Hakonen, Patrick J. C. May, Jussi Alho, Paavo Alku, Emma Jokinen, Iiro P. Jääskeläinen, Hannu Tiitinen
Previous exposure to intact speech increases intelligibility of its digitally degraded counterpart as a function of stimulus complexity. NeuroImage 125 (2016)
Emma Jokinen, Tom Bäckström
Noise-adaptive perceptual weighting in the AMR-WB encoder for increased speech loudness in adverse far-end noise conditions. EUSIPCO (2016)
Emma Jokinen, Ulpu Remes, Paavo Alku
Comparison of Gaussian process regression and Gaussian mixture models in spectral tilt modelling for intelligibility enhancement of telephone speech. INTERSPEECH (2015)
Emma Jokinen, Jérémie Lecomte, Nadja Schinkel-Bielefeld, Tom Bäckström
Intelligibility evaluation of speech coding standards in severe background noise and packet loss conditions. ICASSP (2015)
Emma Jokinen, Marko Takanen, Martti Vainio, Paavo Alku
An adaptive post-filtering method producing an artificial Lombard-like effect for intelligibility enhancement of narrowband telephone speech. Comput. Speech Lang. 28 (2) (2014)
Emma Jokinen, Ulpu Remes, Marko Takanen, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku
Spectral tilt modelling with extrapolated GMMs for intelligibility enhancement of narrowband telephone speech. IWAENC (2014)
Emma Jokinen, Marko Takanen, Paavo Alku
Comparison of post-processing methods for intelligibility enhancement of narrowband speech in a mobile phone framework. ICASSP (2014)
Emma Jokinen, Ulpu Remes, Marko Takanen, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku
Spectral tilt modelling with GMMs for intelligibility enhancement of narrowband telephone speech. INTERSPEECH (2014)
Emma Jokinen, Marko Takanen, Hannu Pulakka, Paavo Alku
Enhancement of speech intelligibility in near-end noise conditions with phase modification. INTERSPEECH (2014)
Emma Jokinen, Marko Takanen, Paavo Alku
Frequency-adaptive post-filtering for intelligibility enhancement of narrowband telephone speech. INTERSPEECH (2013)
Emma Jokinen, Paavo Alku, Martti Vainio
Comparison of post-filtering methods for intelligibility enhancement of telephone speech. EUSIPCO (2012)
Emma Jokinen, Paavo Alku, Martti Vainio
Utilization of the Lombard effect in post-filtering for intelligibility enhancement of telephone speech. INTERSPEECH (2012)