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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score47

Voice Arena introduces a speech recognition benchmark based on real callsMachine translation

AI introduction

Voice Arena’s new benchmark tests speech-to-text models on two-person calls made on everyday phones in real rooms, including background noise, overlapping speech and compressed phone audio. Its first dataset, the Monsoon Conversational ASR Test Set, is live with two-person conversations in five languages; the leaderboard and public test sets are available at Voice Arena.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

语音识别评测必须在语音代理实际工作的场景中进行测试,也就是两个人之间的电话通话。

Voice Arena 的新基准测试在真实房间里、使用日常手机拨打且有真实背景声音的通话上测试语音转文字模型。

两名说话者让模型的任务难得多。人们会同时说话、打断对方,插入简短的“嗯”和“好的”作为回应,而电话线路会压缩音频。客服或销售代理每天都要应对这些情况。

QuoteShobhit Banga@shobhitbanga
Translation
发布进度 3/15:推出 @voicearena_ai 的语音识别基准测试。 一项适用于每种语音识别应用场景、涵盖每种语言的基准测试。在真实对话中进行测试。 数据集 1 已上线:Monsoon Conversational ASR Test Set,包含 5 种语言的双人对话。 排行榜和公开测试集见 Voice Arena。
Original

Drop 3/15: Introducing the Speech Recognition Benchmark on @voicearena_ai. One benchmark for every use case of speech recognition, in every language. Tested on real conversations. Dataset 1 is live: the Monsoon Conversational ASR Test Set, two-person conversations in 5 languages. Leaderboard and public test sets at Voice Arena.

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Source: Rohan Paul · x.com

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