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dc.contributor.author Hernández Mena, Carlos Daniel
dc.date.accessioned 2022-06-09T07:52:33Z
dc.date.available 2022-06-09T07:52:33Z
dc.date.issued 2022-06-08
dc.identifier.uri http://hdl.handle.net/20.500.12537/221
dc.description The "Samrómur-Adolescents Kaldi Recipe 22.06" is a code recipe intended to show how to integrate the adolescent portion of the corpus "Samrómur Children's Icelandic Speech Data 21.09" [1] and the "Icelandic Language Models with Pronunciations 22.01" [2] to create automatic speech recognition systems using the Kaldi toolkit [3].
dc.description „Samrómur-Sýnisforskriftir fyrir unglinga 22.06“ er forskrift sem sýnir hvernig má beita talmálheildinni „Samrómur-Íslensk talgögn frá börnum 21.09“ [1] ásamt „Íslenskum mállíkönum með framburðarorðabók 22.01“ [2] til þess að byggja sérsniðið talgreiningarkerfi með verkfærakistunni Kaldi [3]. [1] Mena, Carlos; et al; Samromur Children 21.09. Web Downloading: http://hdl.handle.net/20.500.12537/185 [2] Mena, Carlos; et al; Icelandic Language Models with Pronunciations 22.01. Web Downloading: http://hdl.handle.net/20.500.12537/172 [3] Povey, D., Ghoshal, A., Boulianne, G., Burget, L., Glembek, O., Goel, N., ... & Vesely, K. (2011). The Kaldi speech recognition toolkit. In IEEE 2011 workshop on automatic speech recognition and understanding (No. CONF). IEEE Signal Processing Society.
dc.language.iso isl
dc.publisher Language and Voice Lab, Reykjavík University
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label PUB
dc.source.uri https://github.com/cadia-lvl/samromur-asr/tree/s5_adolescents_lstm/s5_adolescents_lstm
dc.subject speech recognition
dc.subject kaldi
dc.subject samrómur
dc.subject adolescents voices
dc.title Samrómur-Adolescents Kaldi Recipe 22.06
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding Clarin IS Repository
contact.person Carlos Mena carlosm@ru.is Reykjavík University
sponsor Icelandic Ministry of Education, Science and Culture H11 - Specialized speech recognition Language Technology Programme for Icelandic 2019-2023 nationalFunds
files.size 251103
files.count 1


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Samromur-Adolescents Kaldi Recipe
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  • Samromur_Adolescents_Kaldi_Recipe
    • s5_adolescents_lstm
      • cmd.sh794 B
      • conf
        • decode_dnn.config458 B
        • mfcc_hires.conf670 B
        • mfcc.conf48 B
        • plp.conf35 B
        • decode.config91 B
        • pitch.conf59 B
        • pitch_process.conf0 B
        • online_cmvn.conf95 B
        • fbank.conf249 B
        • slurm.conf562 B
      • run.sh16 kB
      • local
        • Prefabricated_Files
          • silence_phones.txt8 B
          • extra_questions.txt0 B
          • optional_silence.txt4 B
          • nonsilence_phones.txt196 B
        • create_lexicon.py2 kB
        • chain
          • run_tdnn_lstm_ADAPTED.sh29 B
          • compare_wer_general.sh3 kB
          • tuning
            • run_lstm_1c.sh10 kB
            • run_tdnn_lstm_1r.sh14 kB
            • run_tdnn_1f.sh10 kB
            • run_tdnn_lstm_1a.sh11 kB
            • run_tdnn_lstm_1f.sh13 kB
            • run_tdnn_lstm_1k.sh14 kB
            • run_lstm_1e_ADAPTED.sh14 kB
            • run_lstm_1a.sh10 kB
            • run_tdnn_1d.sh10 kB
            • run_tdnn_lstm_attention_bs_1a.sh15 kB
            • run_tdnn_lstm_1u.sh13 kB
            • run_tdnn_lstm_1d.sh13 kB
            • run_tdnn_lstm_1i.sh14 kB
            • run_tdnn_lstm_1n.sh14 kB
            • run_tdnn_1b.sh9 kB
            • run_blstm_1a.sh10 kB
            • run_lstm_1d.sh11 kB
            • run_tdnn_lstm_1s.sh13 kB
            • run_tdnn_1g.sh10 kB
            • run_tdnn_lstm_1b.sh13 kB
            • run_tdnn_lstm_1g.sh13 kB
            • run_tdnn_lstm_attention_1a.sh14 kB
            • run_tdnn_lstm_1e_disc.sh10 kB
            • run_tdnn_lstm_1l.sh13 kB
            • run_lstm_1b.sh10 kB
            • run_tdnn_1e.sh10 kB
            • run_tdnn_lstm_attention_bs_1b.sh13 kB
            • run_tdnn_lstm_1v.sh13 kB
            • run_tdnn_lstm_1e.sh17 kB
            • run_tdnn_lstm_1j.sh14 kB
            • run_tdnn_lstm_1o.sh15 kB
            • run_tdnn_1c.sh11 kB
            • run_lstm_1e.sh10 kB
            • run_tdnn_lstm_1t.sh13 kB
            • run_tdnn_lstm_1c.sh11 kB
            • run_tdnn_lstm_1h.sh13 kB
            • run_tdnn_lstm_1m.sh13 kB
            • run_tdnn_1a.sh7 kB
        • nnet3
          • run_tdnn_lstm.sh26 B
          • run_tdnn_lstm_disc.sh31 B
          • run_tdnn_lstm_lfr.sh30 B
          • run_tdnn.sh21 B
          • run_ivector_common_ADAPTED.sh13 kB
          • run_lstm.sh21 B
          • tuning
            • run_tdnn_lstm_1c.sh8 kB
            • run_lstm_1a.sh6 kB
            • run_tdnn_1b.sh6 kB
            • run_tdnn_lstm_1b.sh8 kB
            • run_tdnn_1a.sh4 kB
            • run_tdnn_lstm_1a_disc.sh10 kB
            • run_tdnn_lstm_1a.sh7 kB
            • run_tdnn_lfr_1a.sh7 kB
            • run_tdnn_lstm_1b_disc.sh7 kB
            • run_tdnn_1c.sh7 kB
            • run_tdnn_lstm_lfr_1a.sh11 kB
          • run_blstm.sh1 kB
          • compare_wer.sh3 kB
          • run_ivector_common.sh9 kB
        • utils.sh1 kB
        • score.sh5 kB
        • samromur_adolescents_data_prep.py5 kB
      • setup.sh182 B
      • path.sh311 B
      • RESULTS549 B
    • Readme.txt2 kB

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