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New Swanada ASR system enables on-device speech recognition for Indic languages

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Swanada, an open-source on-device speech recognition system designed for Indic languages and Classical Sanskrit. This system addresses common bottlenecks in client-side ASR, such as large model sizes and runtime inefficiencies. Swanada utilizes split-encoder capability-routed conformer encoders and lightweight CTC heads to significantly reduce storage requirements and improve performance across various platforms, including browsers and mobile devices. AI

IMPACT Enables efficient on-device speech recognition for a wider range of languages, reducing costs and improving privacy.

RANK_REASON The item describes a new open-source ASR system and its technical details, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Swanada ASR system enables on-device speech recognition for Indic languages

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The item describes a new open-source ASR system and its technical details, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hemanth HM ·

    Swanada: Split-Encoder Capability-Routed Conformer CTC and Sub-30 MB On-Device Speech Recognition Across Twelve Scripts

    arXiv:2611.13814v1 Announce Type: cross Abstract: Client-side automatic speech recognition (ASR) across Indic and Classical scripts eliminates cloud transcription costs, network tail latency, and server-side audio retention, yet neural exports face four systems bottlenecks in bro…

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