{"doi":"10.1109/icslp.1996.607296","title":"Selective use of the speech spectrum and a VQGMM method for speaker identification","abstract":null,"journal":"Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96","year":null,"id":660463,"datarank":0.4943755299006494,"base_score":3.295836866004329,"endowment":3.295836866004329,"self_citation_contribution":0.4943755299006494,"citation_network_contribution":0.0,"self_endowment_contribution":0.4943755299006494,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":26,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1724119,"name":"Ea-Ee Jan","orcid":null,"position":1,"is_corresponding":false},{"id":1724121,"name":"ChiWei Che","orcid":null,"position":2,"is_corresponding":false},{"id":1724123,"name":"Dong-Suk Yuk","orcid":null,"position":3,"is_corresponding":false},{"id":1594279,"name":"J. Flanagan","orcid":null,"position":4,"is_corresponding":false},{"id":1724117,"name":"Qiguang Lin","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Selective use of the speech spectrum and a VQGMM method for speaker identification","abstract":"The paper describes two separate sets of speaker identification experiments. In the first set of experiments, the speech spectrum is selectively used for speaker identification. The results show that the higher portion of the speech spectrum contains more reliable idiosyncratic information on speakers than does the lower portion of equal bandwidth. In the second set of experiments, vector-quantization based Gaussian mixture models (VQGMMs) are developed for text-independent speaker identification. The system has been evaluated in the recent speaker identification evaluation organized by NIST. Details of the system design are given and the evaluation results are presented.","is_dataset_classified":null,"base_score":3.295836866004329,"endowment":3.295836866004329,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19965766","pmcid":null,"openalex_id":"https://openalex.org/W1843883989","authors":[],"funders":[],"total_grants":0,"fwci":1.1012,"citation_percentile":0.75026344,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2016,"count":1},{"year":2018,"count":1},{"year":2019,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://doi.org/10.1109/icslp.1996.607296","host_type":""},{"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.3735","host_type":""}],"fields_of_study":["Speech and Audio Processing","Speech Recognition and Synthesis","Advanced Data Compression Techniques"],"mesh_terms":[],"keywords":["Speaker identification","NIST","Speech recognition","Speaker recognition","Computer science","Speaker diarisation","Vector quantization","Identification (biology)","Set (abstract data type)","Bandwidth (computing)","Gaussian","Artificial intelligence","Pattern recognition (psychology)","Telecommunications","Physics"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Quality Education"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-12T09:15:53.093285Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}