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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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Abstract:
In this paper we present the Amharic Speech Emotion Dataset (ASED), which covers four dialects (Gojjam, Wollo, Shewa and Gonder) and five different emotions (neutral, fearful, happy, sad and angry). We believe it is the first Speech Emotion Recognition (SER) dataset for the Amharic language. 65 volunteer participants, all native speakers, recorded 2,474 sound samples, two to four seconds in length. Eight judges assigned emotions to the samples with high agreement level (Fleiss kappa = 0.8). The resulting dataset is freely available for download. Next, we developed a four-layer variant of the well-known VGG model which we call VGGb. Three experiments were then carried out using VGGb for SER, using ASED. First, we investigated whether Mel-spectrogram features or Mel-frequency Cepstral coefficient (MFCC) features work best for Amharic. This was done by training two VGGb SER models on ASED, one using Mel-spectrograms and the other using MFCC. Four forms of training were tried, standard cross-validation, and ... : 16 pages, 12 tables, 6 figures ...
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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; I.2.7; Sound cs.SD
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URL: https://dx.doi.org/10.48550/arxiv.2201.02710 https://arxiv.org/abs/2201.02710
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Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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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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Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
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Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ...
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Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
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Zhang, Yi. - : Purdue University Graduate School, 2022
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Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
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Zhang, Yi. - : Purdue University Graduate School, 2022
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Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ...
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Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition ...
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Code-Switching Text Augmentation for Multilingual Speech Processing ...
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