Software de reconocimiento de voz para el desarrollo de la pronunciación de inglés: Una revisión sistemática

• García Pazos, Eliud Alberto ^[1] ; Escalante Vega, Juana Elisa ^[1] ; Ramírez, Oscar Alonso ^[1] ; Castañeda Sánchez , Fredy ^[1]
  1. [1] Universidad Veracruzana

     Universidad Veracruzana

     México

     
• Localización: Revista de Investigación en Tecnologías de la Información: RITI, ISSN-e 2387-0893, Vol. 13, Nº. 29, 2025 (Ejemplar dedicado a: Enero-Junio), págs. 166-179
• Idioma: español
• DOI: 10.36825/RITI.13.29.014
• Títulos paralelos:
  • Speech recognition software for english pronunciation development: A systematic review
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    Este artículo presenta una revisión sistemática de la literatura enfocada en herramientas de software diseñadas para mejorar la pronunciación del vocabulario en inglés mediante el reconocimiento de voz. El objetivo principal es identificar y analizar las características, desafíos y efectividad de estas herramientas. Se realizó un análisis comparativo de diversas soluciones existentes, evaluando su impacto en la mejora de la pronunciación, sus funcionalidades específicas para el aprendizaje de vocabulario en inglés y su capacidad para adaptarse a diferentes contextos de enseñanza. El propósito de este estudio es proporcionar una visión integral del estado actual de las herramientas de reconocimiento de voz en este campo, destacando áreas para mejorar y posibles direcciones futuras para la investigación y el desarrollo.

  • English

    This article presents a systematic review of the literature focusing on software tools designed to improve English vocabulary pronunciation through speech recognition.  The main objective is to identify and analyze the features, challenges, and effectiveness of these tools.  A comparative analysis of various existing solutions will be carried out, evaluating their impact on pronunciation improvement, their specific functionalities for English vocabulary learning and their ability to adapt to different teaching contexts.  The purpose of this study is to provide a comprehensive overview of the current state of the art of speech recognition tools in this field, highlighting areas for improvement and possible future directions for research and development.

• Referencias bibliográficas
  • Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan,...
  • Chen, Y., Hu, J., Zhang, X. (2019). SELL-Corpus: An open source multiple accented Chinese-English speech corpus for L2 English learning assessment....
  • Anand, N., Sirigiraju, M., Yarra, C. (2023). Unsupervised pronunciation assessment analysis using utterance level alignment distance with...
  • Boyi, H., Guangliang, L. (2024). Analysis of English speech learning quality based on speech recognition technology. International Conference...
  • Hoesen, D., Putri, F. Y., Lestari, D. P. (2019). Automatic pronunciation generator for Indonesian speech recognition system based on sequence-to-sequence...
  • Nandal, P., Kadian, Y., Upadhyay, S., Mudgal, B. P. (2021). Pronunciation accuracy calculator using machine learning. 5th International Conference...
  • Korzekwa, D., Lorenzo-Trueba, J., Zaporowski, S., Calamaro, S., Drugman, T., Kostek, B. (2021). Mispronunciation detection in nonnative (L2)...
  • Lesnov, A., Zueva, N., Turalchuk, K. (2024). Leveraging deep learning for automatic pronunciation assessment in a mobile application. 4th...
  • Getman, Y., Phan, N., Al-Ghezi, R., Voskoboinik, E., Singh, M., Grosz, T., Kurimo, M., Salvi, G., Svendsen, T., Strömbergsson, S., Smolander,...
  • You, Z., Nijat, M., Shi, Y., Chen, C., Du, W., Hamdulla, A., Wang, D. (2023). Zero-shot mispronunciation detection by knowledge-based data...
  • Zhang, Z. (2023). Research on oral language evaluation method of business English based on speech recognition. 7th Asian Conference on Artificial...
  • Tolba, R. M., Elarif, T., Taha, Z., Hammady, R. (2024). Interactive augmented reality system for learning phonetics using artificial intelligence....
  • Ke, D., Yao, W., Hu, R., Huang, L., Luo, Q., Shu, W. (2022). A new spoken language teaching tech: Combining multi-attention and adain for...
  • Yan, B.-C., Wang, H.-W., Wang, Y.-C., Li, J.-T., Lin, C.-H., Chen, B. (2023). Preserving phonemic distinctions for ordinal regression: A novel...
  • Lin, B., Wang, L. (2023). Multi-lingual pronunciation assessment with unified phoneme set and language-specific embeddings. IEEE International...
  • Lin, B., Wang, L. (2021). Uncertainty estimation in automatic pronunciation assessment with pseudo samples based on deep kernel learning....
  • Zahran, A. I., Fahmy, A. A., Wassif, K. T., Bayomi, H. (2023). Fine-tuning self-supervised learning models for end-to-end pronunciation scoring....
  • Sancinetti, M., Vidal, J., Bonomi, C., Ferrer, L. (2022). A transfer learning approach for pronunciation scoring. IEEE International Conference...
  • Du, L. (2024). Evaluation of English pronunciation interaction quality based on deep learning. International Conference on Integrated Circuits...
  • Pei, H.-C., Fang, H., Luo, X., Xu, X.-S. (2023). Gradformer: A framework for multi-aspect multi-granularity pronunciation assessment. IEEE/ACM...
  • Zhu, C., Wumaier, A., Wei, D., Fan, Z., Yang, J., Yu, H., Kadeer, Z., Wang, L. (2024). Pronunciation error detection model based on feature...
  • Korzekwa, D., Lorenzo-Trueba, J., Drugman, T., Kostek, B. (2022). Computer-assisted pronunciation training—Speech synthesis is almost all...
  • Masyhur, A. M., Andriyani, A. D., Sakinah, N., Nafisyah, D., Windarwan, A. M., Riyadi, S. (2023). Android-based English vocabulary learning...
  • Kostyuchenko, E., Rakhmanenko, I., Lapina, M. (2021). Evaluation of a method for measuring speech quality based on an authentication approach...
  • Wang, H., Xu, J., Ge, H., Wang, Y. (2019). Design and implementation of an English pronunciation scoring system for pupils based on DNN-HMM....
  • Yu, C. (2024). Application of artificial intelligence and speech recognition technology in English listening and speaking ability assessment...
  • Sheoran, K., Bajgoti, A., Gupta, R., Jatana, N., Dhand, G., Gupta, C., Dadheech, P., Yahya, U., Aneja, N. (2023). Pronunciation scoring with...
  • Tejedor-García, C., Escudero-Mancebo, D., Cámara-Arenas, E., Gonzalez-Ferreras, C., Cardeñoso Payo, V. (2020). Assessing pronunciation improvement...
  • Hair, A., Ballard, K. J., Markoulli, C., Monroe, P., Mckechnie, J., Ahmed, B., Gutierrez-Osuna, R. (2021). A longitudinal evaluation of tablet-based...
  • Gómez González, M. A., Ferreiro, A. L. (2024). Web-assisted instruction for teaching and learning EFL phonetics to Spanish learners: Effectiveness,...
  • Tejedor-García, C., Escudero-Mancebo, D., Cardeñoso-Payo, V., González-Ferreras, C. (2020). Using challenges to enhance a learning game for...