Results 41 to 50 of about 315,110 (278)
Likelihood-Maximizing-Based Multiband Spectral Subtraction for Robust Speech Recognition
EURASIP Journal on Advances in Signal Processing, 2009 Automatic speech recognition performance degrades significantly when speech is affected by environmental noise. Nowadays, the major challenge is to achieve good robustness in adverse noisy conditions so that automatic speech recognizers can be used in ...
Bagher BabaAli +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman +4 more
wiley +1 more source
KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition
Applied Sciences, 2020 This paper introduces a large-scale spontaneous speech corpus of Korean, named KsponSpeech. This corpus contains 969 h of general open-domain dialog utterances, spoken by about 2000 native Korean speakers in a clean environment. All data were constructed
Jeong-Uk Bang +9 more
doaj +1 more source
Mixture Density Networks, Human Articulatory Data and Acoustic-to-Articulatory Inversion of Continuous Speech [PDF]
, 2001 Researchers have been investigating methods for retrieving the articulation underlying an acoustic speech signal for more than three decades. A successful method would find many applications, for example: low bit-rate speech coding, helping individuals ...
Richmond, K.
core
The Zero Resource Speech Challenge 2017
, 2017 We describe a new challenge aimed at discovering subword and word units from raw speech. This challenge is the followup to the Zero Resource Speech Challenge 2015. It aims at constructing systems that generalize across languages and adapt to new speakers.
Anguera, Xavier +7 more
core +1 more source
Trajectory Clustering For Automatic Speech Recognition [PDF]
, 2005 4 p.
Han, Y., Veth, J.M. de, Boves, L.W.J.
openaire +2 more sources
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
EURASIP Journal on Audio, Speech, and Music Processing, 2018 The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions).
Meysam Bashirpour +1 more
doaj +1 more source
Speech production knowledge in automatic speech recognition [PDF]
The Journal of the Acoustical Society of America, 2007 Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds, and numerous models, speech production knowledge is almost totally ignored in current mainstream approaches to automatic speech recognition.
King, Simon +5 more
openaire +3 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source