{"id":"https://openalex.org/W4283749392","doi":"https://doi.org/10.48550/arxiv.2206.14357","title":"Comparing Conventional Pitch Detection Algorithms with a Neural Network Approach","display_name":"Comparing Conventional Pitch Detection Algorithms with a Neural Network Approach","publication_year":2022,"publication_date":"2022-06-29","ids":{"openalex":"https://openalex.org/W4283749392","doi":"https://doi.org/10.48550/arxiv.2206.14357"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2206.14357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.14357","pdf_url":"https://arxiv.org/pdf/2206.14357","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.14357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082520160","display_name":"Anja Kroon","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Kroon, Anja","raw_affiliation_strings":["McGill University"],"affiliations":[{"raw_affiliation_string":"McGill University","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082520160"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pitch-detection-algorithm","display_name":"Pitch detection algorithm","score":0.8137009143829346},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7396095991134644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784628033638},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6433800458908081},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5426966547966003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5367746353149414},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5057194232940674},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4858941435813904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4385344088077545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3921701908111572},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.2307044267654419},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1914394199848175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06571325659751892}],"concepts":[{"id":"https://openalex.org/C135622632","wikidata":"https://www.wikidata.org/wiki/Q7198851","display_name":"Pitch detection algorithm","level":3,"score":0.8137009143829346},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7396095991134644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784628033638},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6433800458908081},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5426966547966003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5367746353149414},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5057194232940674},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4858941435813904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4385344088077545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3921701908111572},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2307044267654419},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1914394199848175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06571325659751892},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2206.14357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.14357","pdf_url":"https://arxiv.org/pdf/2206.14357","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2206.14357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2206.14357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.14357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.14357","pdf_url":"https://arxiv.org/pdf/2206.14357","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4240250933","https://openalex.org/W2080580777","https://openalex.org/W2080996473","https://openalex.org/W2010034188","https://openalex.org/W2542236698","https://openalex.org/W2534386362","https://openalex.org/W2532016591","https://openalex.org/W798283168","https://openalex.org/W2400828047"],"abstract_inverted_index":{"Despite":[0],"much":[1],"research,":[2],"traditional":[3,29],"methods":[4],"to":[5,21,66,97],"pitch":[6,25,32,79,93,121,125],"prediction":[7],"are":[8,40,48],"still":[9],"not":[10],"perfect.":[11],"With":[12],"the":[13,113],"emergence":[14],"of":[15,88,108,115],"neural":[16,64,91],"networks":[17],"(NNs),":[18],"researchers":[19],"hope":[20],"create":[22],"a":[23,60,82],"NN-based":[24],"predictor":[26],"that":[27],"outperforms":[28],"methods.":[30],"Three":[31],"detection":[33],"algorithms":[34],"(PDAs),":[35],"pYIN,":[36],"YAAPT,":[37],"and":[38,46,54,77,104,123],"CREPE":[39,58,89],"compared":[41,96],"in":[42],"this":[43],"paper.":[44],"pYIN":[45,103],"YAAPT":[47],"conventional":[49],"approaches":[50,100],"considering":[51],"time":[52],"domain":[53,56],"frequency":[55],"processing.":[57],"utilizes":[59],"data-trained":[61],"deep":[62],"convolutional":[63,74],"network":[65,92],"estimate":[67],"pitch.":[68],"It":[69],"involves":[70],"6":[71],"densely":[72],"connected":[73],"hidden":[75],"layers":[76],"determines":[78],"probabilities":[80],"for":[81],"given":[83],"input":[84],"signal.":[85],"The":[86,106],"performance":[87],"representing":[90],"predictors":[94],"is":[95],"more":[98],"classical":[99],"represented":[101],"by":[102],"YAAPT.":[105],"figure":[107],"merit":[109],"(FOM)":[110],"will":[111],"include":[112],"amount":[114],"unvoiced-to-voiced":[116],"errors,":[117,119,122],"voiced-to-voiced":[118],"gross":[120],"fine":[124],"errors.":[126]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2022-07-02T00:00:00"}
