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Apple and Cohere advance ASR with specialized and efficient models

By PulseAugur Editorial · [2 sources] ·

Apple's Machine Learning Research team has developed a new approach to automatic speech recognition (ASR) error correction using compact seq2seq models. These models, trained on real and synthetic ASR errors, significantly outperform large language models (LLMs) in terms of efficiency and accuracy, particularly in low-error scenarios. Meanwhile, Cohere has introduced Transcribe, a 2-billion parameter ASR model that reportedly surpasses Whisper Large V3 in speed and precision, especially with Arabic dialects. AI

IMPACT Specialized ASR models offer improved efficiency and accuracy, potentially reducing latency and hallucination issues in speech recognition applications.

RANK_REASON The cluster contains a research paper from Apple's ML Research team and a mention of a new ASR model from Cohere.

Read on Apple Machine Learning Research →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Apple and Cohere advance ASR with specialized and efficient models

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Research
The cluster contains a research paper from Apple's ML Research team and a mention of a new ASR model from Cohere.
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2 independent sources
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paper, model release
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High
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91 days old
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COVERAGE [2]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    Revisiting ASR Error Correction with Specialized Models

    Language models play a central role in automatic speech recognition (ASR), yet most methods rely on text-only models unaware of ASR error patterns. Recently, large language models (LLMs) have been applied to ASR correction, but introduce latency and hallucination concerns. We rev…

  2. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    Cohere presented Transcribe – an ASR model with 2 billion parameters that dethrones Whisper Large V3 in speed and accuracy, handling challenges of dia

    Cohere zaprezentowało Transcribe – model ASR z 2 miliardami parametrów, który detronizuje Whisper Large V3 w szybkości i precyzji, radząc sobie z wyzwaniami dialektów arabskich. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/technolog…

    LINKS aisight.pl/…/cohere-transcribe-arabic-eng… aisight.pl/…/generatory-obrazow-ai-stereo…

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