{"id":"W4400373483","doi":"10.48550/arxiv.2407.00463","title":"Open-Source Conversational AI with SpeechBrain 1.0","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Samsung; Grand Équipement National De Calcul Intensif; Natural Sciences and Engineering Research Council of Canada; Baidu","keywords":"Open source; Computer science; World Wide Web; Natural language processing; Programming language; Software","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002439308,0.003350881,0.00147934,0.001366381,0.001016271,0.002123211,0.005594788,0.00193752,0.05356042],"category_scores_gemma":[0.01239026,0.001642732,0.001896771,0.0009681378,0.001040617,0.004148499,0.00561056,0.004650247,0.04031792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009244666,"about_ca_system_score_gemma":0.002626732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008724002,"about_ca_topic_score_gemma":0.008101835,"domain_scores_codex":[0.9979867,0.0005601537,0.0001696174,0.0004578784,0.0006420214,0.0001835046],"domain_scores_gemma":[0.9964337,0.001557167,0.0001202506,0.000796243,0.0007333398,0.0003593151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001644719,0.0004615473,0.001375974,0.004325867,0.0004655209,0.0006728843,0.001576448,0.03039648,0.01563467,0.01856494,0.6758659,0.2490151],"study_design_scores_gemma":[0.0005844366,0.0003552705,0.001806557,0.0004446734,0.000168197,0.0007834753,0.00036895,0.3675368,0.03422186,0.04724813,0.546025,0.0004566849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005835221,0.000987958,0.2529555,0.0005228446,0.0008111548,0.0005309956,0.0167203,0.7013901,0.0202459],"genre_scores_gemma":[0.143822,0.001365648,0.4807852,0.001398795,0.0005338318,0.002995375,0.1396709,0.179834,0.04959415],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05356042,"threshold_uncertainty_score":0.1791775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05687436555704733,"score_gpt":0.193373698736934,"score_spread":0.1364993331798867,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}