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A comparative study of several parameterizations for speaker recognition ...
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Speaker verification in mismatch training and testing conditions ...
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Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ...
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Abstract:
The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of Finland and from all age brackets. The primary goals of the collection were to create a representative, large-scale resource to study spontaneous spoken Finnish and to accelerate the development of language technology and speech-based services. In this paper, we present the collection process and the collected corpus, and showcase its versatility through multiple use cases. The evaluated use cases include: automatic speech recognition of spontaneous speech, detection of age, gender, dialect and topic and metadata analysis. We provide benchmarks for the use cases, as well down loadable, trained baseline systems with open-source code for reproducibility. One further use case is to verify the metadata and transcripts given in this corpus itself, and to suggest ... : Submitted to Language Resources and Evaluation ...
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Keyword:
Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering
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URL: https://dx.doi.org/10.48550/arxiv.2203.12906 https://arxiv.org/abs/2203.12906
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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Automatic Dialect Density Estimation for African American English ...
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End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
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Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
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SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
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Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ...
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Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Telepractice treatment of rhotics (Peterson et al., 2022) ...
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Telepractice treatment of rhotics (Peterson et al., 2022) ...
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Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
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Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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Correcting Misproducted Speech using Spectrogram Inpainting ...
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Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ...
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