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verified SJR 0,493 · Q1 • database Scopus / SJR & Web of Science indexed
Speech Communication
Netherlands · Elsevier B.V.
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Speech Communication

Speech Communication is a journal indexed in SJR in Modeling and Simulation and Software with an H index of 118. It has an SJR impact factor of 0,493 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,493.

Speech Communication focuses its scope in these topics and keywords: output, mandarin, language, aliasing, systems, speaker, channel, speech, source, spectral, ...

ISSN: 0167-6393
Editorial: Elsevier B.V.
Category: Modeling and Simulation
Indexation: verifiedScopus / SJR verifiedWeb of Science

Unclaimed profile — some fields may be incomplete.

open_in_new Portal NPD menu_book Guidelines NPD
schedule Datos CoP · solo campos en BD
SJR Impact Factor trending_up
0,493 Q1
H-index 118
Tasa de Aceptación pie_chart
24% Selectiva
Fuente Acceptance_Rate
Tiempo a publicación hourglass_top
NPD
Campo Sin dato
Coste de Publicación (APC) payments
NPD Subscription
Ruta Non-OA NPD

Metrics

Campos Scimago / CoP — sin series inventadas

Scopus / SJR Web of Science

SJR Impact

0,493

H-index

118

Docs (year)

70

Docs 3y

237

Total refs

4033

Cites 3y

859

Citable 3y

237

Cites/Doc 2y

3.89

Ref/Doc

57.61

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification

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Verifying and correcting recognition string hypotheses using discriminative utterance verification

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Comments on "Towards increasing speech recognition error rates" by H. Bourlard, H. Hermansky, and N. Morgan

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Codebook based face point trajectory synthesis algorithm using speech input

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Classification of methods used for assessment of text-to-speech systems according to the demands placed on the listener

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Channel normalization techniques for automatic speech recognition over the telephone

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Beamforming microphone arrays for speech acquisition in noisy environments

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Automatic segmentation of speech recorded in unknown noisy channel characteristics

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Automatic segmentation and labelling of multi-lingual speech data

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Automatic generation of synthesis units and prosodic information for Chinese concatenative synthesis

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Automatic generation of multiple pronunciations based on neural networks

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Assistive speech technology for persons with speech impairments

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SHOW MORE ARTICLES

Application of multi-layer perceptron in estimating speech/noise characteristics for speech recognition in noisy environment

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A comparison of spectral smoothing methods for segment concatenation based speech synthesis

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An application of the Bayesian time series model and statistical system analysis for F0 control

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An application of minimum classification error to feature space transformations for speech recognition

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An alternative normalization scheme in HMM-based text-dependent speaker verification

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Adaptive hierarchy of hidden Markov models for transformation-based adaptation

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Adaptive fusion of acoustic and visual sources for automatic speech recognition

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Accessing information in spoken audio

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Accentuation boundaries in Dutch, French and Swedish

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A two stage fuzzy decision classifier for speaker identification

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A novel projection-based likelihood measure for noisy speech recognition

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A new distortion measure for spectral quantization based on the LSF intermodel interlacing property

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