{"id":"https://openalex.org/W2616196007","doi":"https://doi.org/10.1007/978-3-319-59105-6_19","title":"Algorithms for Automatic Selection of Allophones to the Acoustic Units Database","display_name":"Algorithms for Automatic Selection of Allophones to the Acoustic Units Database","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2616196007","doi":"https://doi.org/10.1007/978-3-319-59105-6_19","mag":"2616196007"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-59105-6_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-59105-6_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://inria.hal.science/hal-01656258","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036705626","display_name":"Janusz Rafa\u0142ko","orcid":"https://orcid.org/0000-0002-5369-5868"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Janusz Rafa\u0142ko","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036705626"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06775941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"218","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9742000102996826,"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":0.9599999785423279,"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/computer-science","display_name":"Computer science","score":0.7944163084030151},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.6260806322097778},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6148399114608765},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.602236807346344},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5430338978767395},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5006396770477295},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4657289385795593},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4431440532207489},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36548346281051636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3634330630302429},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11247152090072632},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05920130014419556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944163084030151},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.6260806322097778},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6148399114608765},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.602236807346344},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5430338978767395},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5006396770477295},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4657289385795593},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4431440532207489},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36548346281051636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3634330630302429},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11247152090072632},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05920130014419556},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"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":"doi:10.1007/978-3-319-59105-6_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-59105-6_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01656258v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01656258","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.218-226, &#x27E8;10.1007/978-3-319-59105-6_19&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01656258v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01656258","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.218-226, &#x27E8;10.1007/978-3-319-59105-6_19&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1544407768","https://openalex.org/W1556133819","https://openalex.org/W1570629387","https://openalex.org/W2262256700","https://openalex.org/W2340775070"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2216757598","https://openalex.org/W2468698815","https://openalex.org/W2383516975","https://openalex.org/W127416991"],"abstract_inverted_index":{"The":[0,22],"paper":[1],"presents":[2],"algorithms":[3],"and":[4,57],"coefficients":[5,83],"developed":[6],"in":[7,18,88],"order":[8],"to":[9,14,78,85],"select":[10],"specific":[11],"acoustic":[12,52],"units":[13,69,74],"the":[15,27,30,36,45,51,72,79],"base":[16],"used":[17],"concatenative":[19],"speech":[20,38],"synthesis.":[21,90],"approach":[23],"is":[24,32,41],"based":[25],"on":[26],"assumption":[28],"that":[29],"database":[31],"created":[33],"automatically.":[34],"In":[35],"natural":[37],"signal,":[39],"which":[40,71],"a":[42,48],"sample":[43],"of":[44,47,68],"voice":[46],"particular":[49],"person,":[50],"unit":[53],"must":[54],"be":[55,76],"marked":[56],"then":[58],"cut":[59],"out.":[60],"This":[61],"generates":[62],"often":[63],"very":[64],"large,":[65],"redundant":[66],"collection":[67],"from":[70],"best":[73],"should":[75],"selected":[77],"final":[80],"base.":[81],"Described":[82],"refer":[84],"allophones":[86],"databases":[87],"TTS":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
