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Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
arXiv - CS - Sound Pub Date : 2021-07-18 , DOI: arxiv-2107.08337
Anupama Chingacham, Vera Demberg, Dietrich Klakow

Listening in noisy environments can be difficult even for individuals with a normal hearing thresholds. The speech signal can be masked by noise, which may lead to word misperceptions on the side of the listener, and overall difficulty to understand the message. To mitigate hearing difficulties on listeners, a co-operative speaker utilizes voice modulation strategies like Lombard speech to generate noise-robust utterances, and similar solutions have been developed for speech synthesis systems. In this work, we propose an alternate solution of choosing noise-robust lexical paraphrases to represent an intended meaning. Our results show that lexical paraphrases differ in their intelligibility in noise. We evaluate the intelligibility of synonyms in context and find that choosing a lexical unit that is less risky to be misheard than its synonym introduced an average gain in comprehension of 37% at SNR -5 dB and 21% at SNR 0 dB for babble noise.

中文翻译:

探索词法释义减轻噪音引起的理解错误的潜力

即使对于听力阈值正常的人来说,在嘈杂的环境中聆听也很困难。语音信号可能会被噪声掩盖,这可能会导致听者对单词的误解,以及整体理解消息的难度。为了减轻听众的听力困难,合作演讲者利用 Lombard 语音等语音调制策略来生成抗噪话语,并且已经为语音合成系统开发了类似的解决方案。在这项工作中,我们提出了一种替代解决方案,即选择抗噪声的词汇释义来表示预期的含义。我们的结果表明,词汇释义在噪音的可理解性方面有所不同。
更新日期:2021-07-20
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