{"id":"https://openalex.org/W1884693528","doi":"https://doi.org/10.1109/icassp.1979.1170644","title":"A new configuration for speech digitization at 9600 bits per second","display_name":"A new configuration for speech digitization at 9600 bits per second","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1884693528","doi":"https://doi.org/10.1109/icassp.1979.1170644","mag":"1884693528"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1979.1170644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1979.1170644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111894029","display_name":"David L. Cohn","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Cohn","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018811565","display_name":"James L. Melsa","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Melsa","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.513,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59595357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"550","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9979000091552734,"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":0.9879999756813049,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.7985936999320984},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7422976493835449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191263437271118},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.707016110420227},{"id":"https://openalex.org/keywords/codec2","display_name":"Codec2","score":0.6521884202957153},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.6120852828025818},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5981817841529846},{"id":"https://openalex.org/keywords/vector-sum-excited-linear-prediction","display_name":"Vector sum excited linear prediction","score":0.47817784547805786},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47042107582092285},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.45019909739494324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39062997698783875},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.38038530945777893},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22755464911460876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2031809687614441},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14398124814033508}],"concepts":[{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.7985936999320984},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7422976493835449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191263437271118},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.707016110420227},{"id":"https://openalex.org/C75217168","wikidata":"https://www.wikidata.org/wiki/Q1105653","display_name":"Codec2","level":4,"score":0.6521884202957153},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.6120852828025818},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5981817841529846},{"id":"https://openalex.org/C138807605","wikidata":"https://www.wikidata.org/wiki/Q7917845","display_name":"Vector sum excited linear prediction","level":5,"score":0.47817784547805786},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47042107582092285},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.45019909739494324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39062997698783875},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.38038530945777893},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22755464911460876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2031809687614441},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14398124814033508},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1979.1170644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1979.1170644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W310071583","https://openalex.org/W345622819","https://openalex.org/W1484785590","https://openalex.org/W1536990986","https://openalex.org/W1904554885","https://openalex.org/W1990992471","https://openalex.org/W2012007494","https://openalex.org/W2097645910","https://openalex.org/W2142591210","https://openalex.org/W2145541334","https://openalex.org/W2154899385","https://openalex.org/W7045266920"],"related_works":["https://openalex.org/W1551277881","https://openalex.org/W1570840316","https://openalex.org/W2114934544","https://openalex.org/W2014919663","https://openalex.org/W2350749055","https://openalex.org/W2104682943","https://openalex.org/W1994749775","https://openalex.org/W2114362852","https://openalex.org/W1890431648","https://openalex.org/W2520556658"],"abstract_inverted_index":{"A":[0],"speech":[1,8,23,61,73],"coding":[2],"algorithm":[3,29,93],"for":[4],"digital":[5],"transmission":[6],"of":[7,12,65,77,80,91,102],"at":[9],"a":[10,22,33,37,42,52,96],"rate":[11],"9600":[13],"bits":[14],"per":[15],"second":[16],"which":[17,99],"can":[18],"be":[19],"implemented":[20],"on":[21],"processing":[24],"system":[25],"is":[26,100],"described.":[27],"The":[28],"combines":[30],"the":[31,75,92],"following:":[32],"pitch":[34,38],"extraction":[35],"loop,":[36],"compensating":[39],"adaptive":[40,44,48],"quantizer,":[41],"sequentially":[43],"linear":[45],"predictor,":[46],"an":[47],"source":[49],"coding,":[50,74],"and":[51],"multipath":[53],"tree":[54],"searching":[55],"to":[56,72],"generate":[57],"very":[58,103],"high":[59,104],"quality":[60,105],"output.":[62],"Although":[63],"each":[64],"these":[66,81],"elements":[67,82],"has":[68,83],"been":[69,85],"previously":[70],"applied":[71],"combination":[76],"all":[78],"five":[79],"not":[84],"discussed":[86],"before.":[87],"Preliminary":[88],"simulation":[89],"studies":[90],"have":[94],"yielded":[95],"signal-to-noise":[97],"ratio":[98],"indicative":[101],"speech.":[106]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}