GIPFA：从音频生成IPA发音
GIPFA: Generating IPA Pronunciation from Audio
摘要：
将语音样本转录成国际音标（IPA）一直是专家的专利。在这项研究中，我们研究了使用人工神经网络（ANN）模型自动提取IPA音素发音的一个词的基础上，其音频发音，因此它的名字从音频生成IPA发音（GIPFA）。基于法语维基词典，我们训练了我们的模型，然后正确预测了75%的测试IPA发音。有趣的是，通过研究推理错误，该模型可以突出数据集中可能的错误，并识别法语中最接近的音素。
英文摘要：
Transcribing spoken audio samples into the International Phonetic Alphabet (IPA) has long been reserved for experts. In this study, we examine the use of an Artificial Neural Network (ANN) model to automatically extract the IPA phonemic pronunciation of a word based on its audio pronunciation, hence its name Generating IPA Pronunciation From Audio (GIPFA). Based on the French Wikimedia dictionary, we trained our model which then correctly predicted 75% of the IPA pronunciations tested. Interestingly, by studying inference errors, the model made it possible to highlight possible errors in the dataset as well as to identify the closest phonemes in French.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
