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Automatic Speech Recognition and Translation for Low Resource Languages
book

Automatic Speech Recognition and Translation for Low Resource Languages

by L. Ashok Kumar, D. Karthika Renuka, Bharathi Raja Chakravarthi, Thomas Mandl
April 2024
Intermediate to advanced content levelIntermediate to advanced
496 pages
13h 10m
English
Wiley-Scrivener
Content preview from Automatic Speech Recognition and Translation for Low Resource Languages

Index

  • Accent, 243, 248, 251, 313
  • Acoustic model, 15, 17, 71, 86
  • Acquisition, 182
  • Adequacy, 364–366, 368
  • Age, 313
  • Alignment
    • document, 319
    • sentence, 319–321
  • Analog-to-digital converter, 72
  • Ancient Tamil, 213–237
  • Annotated corpora, 163
  • Annotation, 193, 312
  • Artificial Intelligence (AI), 243, 331–332, 370
  • ASR models, 51–52, 54, 56, 67
  • Assistive technology, 244–245
  • Attention, 98, 100
  • Attention-based encoder–decoder, 15, 20, 21
  • Attention-based gated recurrent unit, 16, 24
  • Audio classification, 313
  • Audiovisual, 439
  • Augmentation, 268
  • Auto-associative neural network, 30
  • Autocorrelation function, 412
  • Autoencoder (AE), 331, 346–348, 353, 355–356
  • Automatic speech recognition (ASR), 15, 16, 27, 28, 70, 72, 89, 96, 259, 260, 376, 445, 448, 449, 456
  • Autoregressive, 20
  • Autoregressive gated recurrent unit (GRU) decoder, 23
  • Capacity building, 310
  • Central dialect, 31
  • Cepstral, 427
  • Challenges in MS of Kannada and Tulu Words, 117–119
  • Character segmentation, 215, 217, 222–224, 236
  • Chunker, 298, 324
  • Clustering, 431
  • Code, 310
  • Collaboration, 327
  • Collation ...
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Publisher Resources

ISBN: 9781394213580Purchase Link