Alarm sound recognition method and device and training method of alarm sound recognition model
The invention relates to the field of sound recognition, and discloses an alarm sound recognition method and device, a training method of an alarm sound recognition model, electronic equipment and a computer readable storage medium. The alarm sound recognition method comprises the following steps: a...
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| creator | LIU CHANG LIANG CHANGCHENG LI QIAN |
| description | The invention relates to the field of sound recognition, and discloses an alarm sound recognition method and device, a training method of an alarm sound recognition model, electronic equipment and a computer readable storage medium. The alarm sound recognition method comprises the following steps: acquiring a Mel-frequency cepstrum coefficient of an input voice; obtaining a target time-frequency characteristic of the input voice according to the Mel-frequency cepstrum coefficient; and determining whether the input voice contains alarm sound or not according to the target time-frequency characteristics. Compared with the prior art, the alarm sound recognition method and device, the training method of the alarm sound recognition model, the electronic equipment and the computer readable storage medium provided by the embodiment of the invention have the advantage of being capable of flexibly adapting to various alarm scenes.
本申请涉及声音识别领域，公开了一种报警声识别方法及装置、报警声识别模型的训练方法、电子设备及计算机可读存储介质。其中，报警声识别方法，包括：获取输入语音的梅尔频率倒谱系数；根据 |
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本申请涉及声音识别领域，公开了一种报警声识别方法及装置、报警声识别模型的训练方法、电子设备及计算机可读存储介质。其中，报警声识别方法，包括：获取输入语音的梅尔频率倒谱系数；根据</description><language>chi ; eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240322&DB=EPODOC&CC=CN&NR=117746890A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240322&DB=EPODOC&CC=CN&NR=117746890A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU CHANG</creatorcontrib><creatorcontrib>LIANG CHANGCHENG</creatorcontrib><creatorcontrib>LI QIAN</creatorcontrib><title>Alarm sound recognition method and device and training method of alarm sound recognition model</title><description>The invention relates to the field of sound recognition, and discloses an alarm sound recognition method and device, a training method of an alarm sound recognition model, electronic equipment and a computer readable storage medium. The alarm sound recognition method comprises the following steps: acquiring a Mel-frequency cepstrum coefficient of an input voice; obtaining a target time-frequency characteristic of the input voice according to the Mel-frequency cepstrum coefficient; and determining whether the input voice contains alarm sound or not according to the target time-frequency characteristics. Compared with the prior art, the alarm sound recognition method and device, the training method of the alarm sound recognition model, the electronic equipment and the computer readable storage medium provided by the embodiment of the invention have the advantage of being capable of flexibly adapting to various alarm scenes.
本申请涉及声音识别领域，公开了一种报警声识别方法及装置、报警声识别模型的训练方法、电子设备及计算机可读存储介质。其中，报警声识别方法，包括：获取输入语音的梅尔频率倒谱系数；根据</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZIhzzEksylUozi_NS1EoSk3OT8_LLMnMz1PITS3JyE9RSAQKp6SWZSangpklRYmZeZl56TDp_DSFRFwG5Kek5vAwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDc3MTMwtLA0djYtQAADXbPKM</recordid><startdate>20240322</startdate><enddate>20240322</enddate><creator>LIU CHANG</creator><creator>LIANG CHANGCHENG</creator><creator>LI QIAN</creator><scope>EVB</scope></search><sort><creationdate>20240322</creationdate><title>Alarm sound recognition method and device and training method of alarm sound recognition model</title><author>LIU CHANG ; LIANG CHANGCHENG ; LI QIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117746890A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><toplevel>online_resources</toplevel><creatorcontrib>LIU CHANG</creatorcontrib><creatorcontrib>LIANG CHANGCHENG</creatorcontrib><creatorcontrib>LI QIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU CHANG</au><au>LIANG CHANGCHENG</au><au>LI QIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Alarm sound recognition method and device and training method of alarm sound recognition model</title><date>2024-03-22</date><risdate>2024</risdate><abstract>The invention relates to the field of sound recognition, and discloses an alarm sound recognition method and device, a training method of an alarm sound recognition model, electronic equipment and a computer readable storage medium. The alarm sound recognition method comprises the following steps: acquiring a Mel-frequency cepstrum coefficient of an input voice; obtaining a target time-frequency characteristic of the input voice according to the Mel-frequency cepstrum coefficient; and determining whether the input voice contains alarm sound or not according to the target time-frequency characteristics. Compared with the prior art, the alarm sound recognition method and device, the training method of the alarm sound recognition model, the electronic equipment and the computer readable storage medium provided by the embodiment of the invention have the advantage of being capable of flexibly adapting to various alarm scenes.
本申请涉及声音识别领域，公开了一种报警声识别方法及装置、报警声识别模型的训练方法、电子设备及计算机可读存储介质。其中，报警声识别方法，包括：获取输入语音的梅尔频率倒谱系数；根据</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
| title | Alarm sound recognition method and device and training method of alarm sound recognition model |
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