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With the increasing need for efficient automatic translation systems, language translation is essential for enhancing communication and fostering intercultural understanding. In order to translate spoken Tulu, a Dravidian language spoken in Karnataka, India, into English, we introduce TEATA, a deep learning model. Accurate English translations are made possible by TEATA’s transformer-based design, which uses positional encoding and multi-head attention to capture contextual relationships in Tulu audio inputs. By focusing on global relationships in the input data, this architecture performs better than conventional sequence-to-sequence models. TEATA can be used to facilitate communication between Tulu and its English speakers through TEATA. Connections across cultures, education, travel, and tourism industry. A BLEU score of 38.5. The positive feedback from bilingual specialists on fluency and contextual correctness confirm the effectiveness of the its.

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Tulu English Audio Transformer for Automatic Translation

  • 会议论文

  • 发表日期：

    2026年

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  • Mangala Shetty,
  • Harshith Raj,
  • Spoorthi B. Shetty,
  • Manisha J. Devadiga,
  • Akash Shetty

摘要

With the increasing need for efficient automatic translation systems, language translation is essential for enhancing communication and fostering intercultural understanding. In order to translate spoken Tulu, a Dravidian language spoken in Karnataka, India, into English, we introduce TEATA, a deep learning model. Accurate English translations are made possible by TEATA’s transformer-based design, which uses positional encoding and multi-head attention to capture contextual relationships in Tulu audio inputs. By focusing on global relationships in the input data, this architecture performs better than conventional sequence-to-sequence models. TEATA can be used to facilitate communication between Tulu and its English speakers through TEATA. Connections across cultures, education, travel, and tourism industry. A BLEU score of 38.5. The positive feedback from bilingual specialists on fluency and contextual correctness confirm the effectiveness of the its.