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Google's Eloquent dictation app fails benchmarks due to frequent transcription errors

By PulseAugur Editorial · [1 sources] ·

A user attempting to benchmark Google's new on-device dictation app, Eloquent, found it to be largely unusable due to frequent failures to transcribe audio. While the app's accuracy was competitive when it did function, it often returned incomplete or no transcriptions, leading the user to suspect it behaves like a chat-style AI that sometimes responds about the audio rather than transcribing it. The user also tested Google's open model Gemma 3n, which exhibited similar issues, suggesting Eloquent might be hiding these problems. AI

IMPACT The unreliability of Google's Eloquent dictation app highlights challenges in deploying on-device AI for speech recognition, potentially slowing adoption.

RANK_REASON The cluster discusses a user's experience and benchmark of a specific product, not a major industry-wide release or research finding.

Read on r/LocalLLaMA →

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

Google's Eloquent dictation app fails benchmarks due to frequent transcription errors

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0 / 100
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Tool
The cluster discusses a user's experience and benchmark of a specific product, not a major industry-wide release or research finding.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, model release
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High
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107 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/tilmx ·

    Tried to benchmark Google’s new on-device dictation models (Eloquent) and basically couldn’t

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1u2f8uz/tried_to_benchmark_googles_new_ondevice_dictation/"> <img alt="Tried to benchmark Google’s new on-device dictation models (Eloquent) and basically couldn’t" src="https://external-preview.redd.it/ajQwYW…

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