Publication Information

{'id': 'https://openalex.org/W2144085034', 'doi': 'https://doi.org/10.1109/wcnc.2004.1311485', 'title': 'Output-based method of applying PESQ to measure the perceptual quality of framed speech signals', 'display_name': 'Output-based method of applying PESQ to measure the perceptual quality of framed speech signals', 'publication_year': 2004, 'publication_date': '2004-10-19', 'ids': {'openalex': 'https://openalex.org/W2144085034', 'doi': 'https://doi.org/10.1109/wcnc.2004.1311485', 'mag': '2144085034'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/wcnc.2004.1311485', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5000210656', 'display_name': 'Adrian E. Conway', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1302485747', 'display_name': 'Verizon (United States)', 'ror': 'https://ror.org/02vdyxx64', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I1302485747']}], 'countries': ['US'], 'is_corresponding': True, 'raw_author_name': 'A.E. Conway', 'raw_affiliation_strings': ['Verizon Laboratories, Waltham, MA, USA'], 'affiliations': [{'raw_affiliation_string': 'Verizon Laboratories, Waltham, MA, USA', 'institution_ids': ['https://openalex.org/I1302485747']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5000210656'], 'corresponding_institution_ids': ['https://openalex.org/I1302485747'], 'apc_list': None, 'apc_paid': None, 'fwci': 1.857, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 18, 'citation_normalized_percentile': {'value': 0.840466, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 85, 'max': 86}, 'biblio': {'volume': None, 'issue': None, 'first_page': '2521', 'last_page': '2526'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10860', 'display_name': 'Speech and Audio Processing', 'score': 0.9964, '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/T10860', 'display_name': 'Speech and Audio Processing', 'score': 0.9964, '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/T10901', 'display_name': 'Advanced Data Compression Techniques', 'score': 0.9853, '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/T10575', 'display_name': 'Wireless Communication Networks Research', 'score': 0.9763, 'subfield': {'id': 'https://openalex.org/subfields/1705', 'display_name': 'Computer Networks and Communications'}, '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/pesq', 'display_name': 'PESQ', 'score': 0.99759364}, {'id': 'https://openalex.org/keywords/mean-opinion-score', 'display_name': 'Mean opinion score', 'score': 0.79298294}, {'id': 'https://openalex.org/keywords/psqm', 'display_name': 'PSQM', 'score': 0.6776794}, {'id': 'https://openalex.org/keywords/codec', 'display_name': 'Codec', 'score': 0.6041364}, {'id': 'https://openalex.org/keywords/signal', 'display_name': 'SIGNAL (programming language)', 'score': 0.46079972}], 'concepts': [{'id': 'https://openalex.org/C103734657', 'wikidata': 'https://www.wikidata.org/wiki/Q2739975', 'display_name': 'PESQ', 'level': 4, 'score': 0.99759364}, {'id': 'https://openalex.org/C62897895', 'wikidata': 'https://www.wikidata.org/wiki/Q1915482', 'display_name': 'Mean opinion score', 'level': 3, 'score': 0.79298294}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.7896416}, {'id': 'https://openalex.org/C108699837', 'wikidata': 'https://www.wikidata.org/wiki/Q7120750', 'display_name': 'PSQM', 'level': 4, 'score': 0.6776794}, {'id': 'https://openalex.org/C28490314', 'wikidata': 'https://www.wikidata.org/wiki/Q189436', 'display_name': 'Speech recognition', 'level': 1, 'score': 0.63972855}, {'id': 'https://openalex.org/C161765866', 'wikidata': 'https://www.wikidata.org/wiki/Q184748', 'display_name': 'Codec', 'level': 2, 'score': 0.6041364}, {'id': 'https://openalex.org/C13895895', 'wikidata': 'https://www.wikidata.org/wiki/Q3270773', 'display_name': 'Speech coding', 'level': 2, 'score': 0.46881437}, {'id': 'https://openalex.org/C2779843651', 'wikidata': 'https://www.wikidata.org/wiki/Q7390335', 'display_name': 'SIGNAL (programming language)', 'level': 2, 'score': 0.46079972}, {'id': 'https://openalex.org/C2776182073', 'wikidata': 'https://www.wikidata.org/wiki/Q7575395', 'display_name': 'Speech enhancement', 'level': 3, 'score': 0.4344695}, {'id': 'https://openalex.org/C204201278', 'wikidata': 'https://www.wikidata.org/wiki/Q1332614', 'display_name': 'Voice activity detection', 'level': 3, 'score': 0.38868716}, {'id': 'https://openalex.org/C61328038', 'wikidata': 'https://www.wikidata.org/wiki/Q3358061', 'display_name': 'Speech processing', 'level': 2, 'score': 0.34697032}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.3010497}, {'id': 'https://openalex.org/C9390403', 'wikidata': 'https://www.wikidata.org/wiki/Q3966', 'display_name': 'Computer hardware', 'level': 1, 'score': 0.12636742}, {'id': 'https://openalex.org/C127413603', 'wikidata': 'https://www.wikidata.org/wiki/Q11023', 'display_name': 'Engineering', 'level': 0, 'score': 0.09395668}, {'id': 'https://openalex.org/C176217482', 'wikidata': 'https://www.wikidata.org/wiki/Q860554', 'display_name': 'Metric (unit)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C21547014', 'wikidata': 'https://www.wikidata.org/wiki/Q1423657', 'display_name': 'Operations management', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C163294075', 'wikidata': 'https://www.wikidata.org/wiki/Q581861', 'display_name': 'Noise reduction', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/wcnc.2004.1311485', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/16', 'display_name': 'Peace, justice, and strong institutions', 'score': 0.47}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 30, 'referenced_works': ['https://openalex.org/W113013245', 'https://openalex.org/W1506798738', 'https://openalex.org/W1579630732', 'https://openalex.org/W1602618321', 'https://openalex.org/W1610279035', 'https://openalex.org/W1854341237', 'https://openalex.org/W1868269393', 'https://openalex.org/W1878198573', 'https://openalex.org/W1905328856', 'https://openalex.org/W1915369845', 'https://openalex.org/W1939939164', 'https://openalex.org/W1943244347', 'https://openalex.org/W1992298983', 'https://openalex.org/W2005573361', 'https://openalex.org/W2026266377', 'https://openalex.org/W2031212319', 'https://openalex.org/W2067029473', 'https://openalex.org/W2096683481', 'https://openalex.org/W2100036917', 'https://openalex.org/W2100041782', 'https://openalex.org/W2124584168', 'https://openalex.org/W2127771054', 'https://openalex.org/W2134296215', 'https://openalex.org/W2138114542', 'https://openalex.org/W2139442285', 'https://openalex.org/W2144213109', 'https://openalex.org/W2146889948', 'https://openalex.org/W2148240148', 'https://openalex.org/W2157600120', 'https://openalex.org/W2492494245'], 'related_works': ['https://openalex.org/W59212688', 'https://openalex.org/W4287113595', 'https://openalex.org/W3196343857', 'https://openalex.org/W3176271478', 'https://openalex.org/W2988616598', 'https://openalex.org/W2295525327', 'https://openalex.org/W2189586111', 'https://openalex.org/W2144085034', 'https://openalex.org/W2098596704', 'https://openalex.org/W1893647155'], 'abstract_inverted_index': {'A': [0, 116], 'well-known': [1], 'objective': [2, 33], 'method': [3, 15, 50, 153], 'of': [4, 16, 51, 70, 80, 99, 107], 'speech': [5, 28, 56], 'quality': [6, 18, 35], 'measurement': [7, 152], 'is': [8, 101, 119], 'the': [9, 38, 68, 81, 123, 140], 'ITU-T': [10, 141], 'P.862': [11], 'PESQ.': [12], 'This': [13], 'input/output-based': [14], 'perceptual': [17, 34], 'evaluation': [19], 'operates': [20], 'on': [21, 129], 'a': [22, 47, 63, 146], 'transmitted': [23, 82], '(input)': [24], 'and': [25, 105, 113], 'received': [26, 39, 55], '(output)': [27], 'signal': [29], 'to': [30, 54, 59, 72, 92], 'compute': [31], 'an': [32], 'score': [36], 'for': [37, 121, 156], 'signal.': [40], 'In': [41], 'this': [42], 'paper,': [43], 'we': [44], 'present': [45], 'F-PESQ,': [46], 'novel': [48], 'output-based': [49], 'applying': [52], 'PESQ': [53, 71], 'signals': [57], 'assumed': [58], 'be': [60, 88, 137], 'coded': [61], 'in': [62, 75, 90, 145], 'framed': [64], 'format.': [65], 'It': [66], 'enables': [67], 'application': [69], 'voice': [73, 93], 'calls': [74, 94], 'networks': [76], 'without': [77], 'requiring': [78], 'knowledge': [79], 'signals.': [83], 'As': [84], 'such,': [85], 'it': [86], 'may': [87], 'applied': [89], 'vivo': [91], 'at': [95], 'end-devices.': [96, 130], 'The': [97], 'accuracy': [98], 'F-PESQ': [100, 127, 135], 'evaluated': [102], 'with': [103, 110, 139], 'analysis': [104], 'simulations': [106], 'frame': [108], 'loss': [109], 'G.711,': [111], 'G.723,': [112], 'G.729': [114], 'codecs.': [115], 'client/server': [117], 'architecture': [118], 'presented': [120], 'minimizing': [122], 'computational': [124], 'requirements': [125], 'that': [126, 154], 'imposes': [128], 'We': [131], 'also': [132], 'show': [133], 'how': [134], 'can': [136], 'combined': [138], 'G.I': [142], '07': [143], 'E-model': [144], 'MOSC': [147], '(conversational': [148], 'mean': [149], 'opinion': [150], 'score)': [151], 'accounts': [155], 'additional': [157], 'factors': [158], 'such': [159], 'as': [160], 'round-trip': [161], 'delay.': [162]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2144085034', 'counts_by_year': [{'year': 2017, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 3}, {'year': 2014, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-12-07T21:57:38.480863', 'created_date': '2016-06-24'}