Selecting type of response for chat-like spoken dialogue systems based on acoustic features of user utterances

机译：基于用户话语的声学特征为类似聊天的口语对话系统选择响应类型

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This paper describes a method of automatically selecting types of responses in conversational dialog systems, such as back-channel responses, changing the topic, or expanding the topic, using acoustic features extracted from user utterances. These features include spectral information described by MFCCs and LSPs, pitch information expressed by F0, loudness, etc. A corpus of dialogues between elderly people and an interviewer was constructed, and the results of evaluation experiments showed that our method achieved an F-measure of 49.3% in a speech segment identification task. Moreover, further improvement was achieved by utilizing the delta coefficients of each feature.

机译：本文介绍了一种方法，该方法使用从用户话语中提取的声学特征自动选择对话对话框系统中的响应类型，例如反向通道响应，更改主题或扩展主题。这些功能包括由MFCC和LSP所描述的频谱信息，由F0表示的音调信息，响度等。构建了老年人与访问者之间的对话语料库，并且评估实验的结果表明，我们的方法实现了F测度。在语音段识别任务中为49.3％。此外，通过利用每个特征的增量系数实现了进一步的改进。

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《Asia-Pacific Signal and Information Processing Association Annual Summit and Conference》|2017年|1248-1252|共5页
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Kengo Ohta; Rikito Marumoto; Ryota Nishimura; Norihide Kitaoka;
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Acoustics; Feature extraction; Speech; Senior citizens; Support vector machines; Kernel; Task analysis;

机译：声学;特征提取;语音;老年人;支持向量机;内核;任务分析;

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专利

1. Estimating the User's State before Exchanging Utterances Using Intermediate Acoustic Features for Spoken Dialog Systems [J] . Yuya Chiba, Takashi Nose, Masashi Ito, IAENG Internaitonal journal of computer science . 2016,第1期

机译：使用语音对话系统的中间声学功能在交换说话之前估算用户的状态
2. Selecting Help Messages by Using Robust Grammar Verification for Handling Out-of-Grammar Utterances in Spoken Dialogue Systems [J] . Kazunori KOMATANI, Yuichiro FUKUBAYASHI, Satoshi IKEDA, IEICE transactions on information and systems . 2010,第12期

机译：通过使用健壮的语法验证来选择帮助消息，以处理口语对话系统中的语法外说话
3. Selecting Help Messages by Using Robust Grammar Verification for Handling Out-of-Grammar Utterances in Spoken Dialogue Systems [J] . Kazunori KOMATANI, Yuichiro FUKUBAYASHI, Satoshi IKEDA, IEICE Transactions on Information and Systems . 2010,第12期

机译：通过使用健壮的语法验证来选择帮助消息以处理口语对话系统中的语法外说话
4. Selecting Type of Response for Chat-like Spoken Dialogue Systems Based on Acoustic Features of User Utterances [C] . Kengo Ohta, Rikito Marumoto, Ryota Nishimura, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference . 2017

机译：根据用户话语的声学特征选择聊天语音对话系统的响应类型
5. Feature selection for error detection and recovery in spoken dialogue systems [D] . Ligorio, Tiziana 2011

机译：语音对话系统中错误检测和恢复的功能选择
6. Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems [O] . Oleg Akhtiamov, Ingo Siegert, Alexey Karpov, 2020

机译：使用复杂度相同的人机对话来调查口语对话系统的收件人检测
7. Acoustic Modeling for Spoken Dialogue Systems Based on Unsupervised Utterance-based Selective Training [O] . Tobias Cincarek, Tomoki Toda, Hiroshi Saruwatari, 2006

机译：基于无监督话语选择性训练的口语对话系统声学建模

Selecting type of response for chat-like spoken dialogue systems based on acoustic features of user utterances

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