beam_search: beam_size: 10 maxlenratio: 0.0 minlenratio: 0.0 pre_beam_ratio: 1.5 pre_beam_score_key: full ctc: model_path: models/asr/su_openslr36/full/ctc.onnx quantized_model_path: models/asr/su_openslr36/quantize/ctc_qt.onnx decoder: dec_type: XformerDecoder model_path: models/asr/su_openslr36/full/xformer_decoder.onnx n_layers: 6 odim: 256 quantized_model_path: models/asr/su_openslr36/quantize/xformer_decoder_qt.onnx encoder: do_normalize: true do_postencoder: false do_preencoder: false enc_type: XformerEncoder frontend: frontend_type: default logmel: fmax: 8000.0 fmin: 0 htk: false log_base: null n_fft: 512 n_mels: 80 sr: 16000 stft: center: true hop_length: 128 n_fft: 512 normalized: false onesided: true win_length: 512 window: hann is_vggrnn: false model_path: models/asr/su_openslr36/full/xformer_encoder.onnx normalize: eps: 1.0e-20 norm_means: true norm_vars: true stats_file: models/asr/su_openslr36/feats_stats.npz type: gmvn quantized_model_path: models/asr/su_openslr36/quantize/xformer_encoder_qt.onnx lm: use_lm: false ngram: use_ngram: false token: blank: 0 eos: 999 list: - - - "\u2581" - "\u2581DI" - KEUR - "\u2581KU" - "\u2581JEUNG" - "\u2581OL" - "\u2581NINGALI" - NCARA - "\u2581WARTAWAN" - OHOK - WAWA - POTO - A - I - E - Y - S - O - AN - T - NA - N - R - RA - L - ER - H - D - "\u2581KA" - 'ON' - U - TA - IN - "\u2581K" - "\u2581S" - P - MA - G - K - AR - LA - RI - NG - M - EL - "\u2581M" - "\u2581D" - DI - LE - B - IE - "\u2581P" - Z - W - WI - "\u2581B" - "\u2581MAR" - EN - AD - "\u2581T" - . - SON - "\u2581F" - AS - IS - UR - KA - "\u2581LI" - MAN - ING - UNG - "\u2581G" - "\u2581AL" - V - TON - UN - WA - "\u2581AYA" - "\u2581POE" - F - "\u2581TI" - "\u2581DINA" - "\u2581NI" - TH - RE - "\u2581O" - "\u2581ARI" - "\u2581HA" - CA - NE - CK - ORAN - "\u2581JA" - "\u2581ME" - TO - AH - "\u2581SI" - US - "\u2581C" - "\u2581SO" - UL - LO - DEWI - ES - "\u2581BA" - "\u2581Z" - "\u2581MI" - AL - "\u2581RO" - ED - "\u2581SA" - KY - "\u2581PA" - "\u2581SU" - EK - "\u2581BE" - SA - TYA - "\u2581CA" - IKA - "\u2581BEN" - NDA - CE - "\u2581JO" - NATA - "\u2581H" - IA - "\u2581RU" - INA - "\u2581CHRIS" - "\u2581SAND" - "\u2581THE" - IM - BERT - "\u2581SAM" - YA - C - HA - "\u2581HO" - "\u2581LEE" - KU - GO - "\u2581DON" - "\u2581IR" - ATI - UK - "\u2581W" - GER - ZI - "\u2581JOHN" - "\u2581IS" - ANG - "\u2581KE" - LEY - "\u2581RE" - "\u2581SE" - "\u2581BO" - IF - "\u2581MUHAM" - MY - "\u2581JACK" - LY - DO - KI - "\u2581KAT" - "\u2581RAM" - KH - IC - "\u2581L" - "\u2581JI" - AM - "\u2581JESSI" - "\u2581BELL" - "\u2581MO" - AVID - RO - HAM - EM - OR - JA - "\u2581HE" - SARI - MAD - ID - '-' - LAN - OT - RAH - ASA - "\u2581ELIZABETH" - INE - "\u2581TOM" - "\u2581LE" - "\u2581LA" - "\u2581REZ" - "\u2581AND" - "\u2581JENN" - UM - "\u2581MARIA" - "\u2581BON" - "\u2581CHO" - FA - YONG - "\u2581TITI" - HEN - "\u2581BR" - EB - "\u2581ANU" - ISA - "\u2581PE" - "\u2581DO" - "\u2581TEU" - TEN - "\u2581MIR" - "\u2581NU" - WAN - "\u2581RI" - EZ - "\u2581VIN" - MAL - OS - OOR - RAN - "\u2581WIN" - BING - "\u2581YU" - "\u2581GI" - "\u2581AHM" - ANTI - "\u2581LU" - ALI - "\u2581NO" - "\u2581BILL" - "\u2581YO" - J - SHA - "\u2581ADAM" - LIE - "\u2581SOPHI" - CKY - "\u2581JON" - "\u2581MARTIN" - "\u2581KHAN" - DER - "\u2581KAP" - "\u2581JOE" - "\u2581WON" - "\u2581JAME" - "\u2581WILLIAM" - "\u2581J" - "\u2581KAR" - "\u2581AR" - MITH - "\u2581ADI" - UA - "\u2581CHANDRA" - "\u2581RIZ" - "\u2581ASHLE" - "\u2581RICHARD" - "\u2581PUTRI" - "\u2581JOSH" - "\u2581HARRIS" - "\u2581GUN" - RINA - "\u2581INDRA" - ARA - "\u2581LAT" - "\u2581EM" - "\u2581AYU" - "\u2581VAN" - WATI - CHAN - SYA - "\u2581ALI" - CHEL - "\u2581PAN" - ALL - BU - "\u2581CH" - AWA - "\u2581ABD" - NS - ERRY - AEL - "\u2581DAR" - "\u2581JU" - NY - "\u2581SHAH" - ELLY - HU - "\u2581MICHEL" - "\u2581CAR" - RIO - ULIN - "\u2581DAHLIA" - "\u2581KANG" - "\u2581MIN" - "\u2581LOBA" - "\u2581YUKI" - "\u2581EVA" - "\u2581WILL" - INDAH - "\u2581JUD" - NTY - "\u2581CIT" - "\u2581JUN" - "\u2581MC" - "\u2581JUSTI" - PERT - "\u2581CI" - "\u2581US" - "\u2581YUN" - "\u2581SIMP" - NIE - DAD - "\u2581MEL" - "\u2581SHERI" - "\u2581PAUL" - RYAN - "\u2581RAN" - "\u2581VI" - HAKIM - "\u2581FAT" - ALLEN - UNGAN - "\u2581MARC" - MES - "\u2581CRIST" - "\u2581MARK" - "\u2581DANIEL" - "\u2581ROSS" - FAN - "\u2581REEVE" - "\u2581JULIA" - ZHA - ONEY - "\u2581KANTO" - "\u2581KATE" - "\u2581JIM" - "\u2581LAU" - "\u2581WOOD" - BAMA - LOR - LUM - GHAN - "\u2581TRI" - "\u2581MICH" - "\u2581DU" - RTIKA - "\u2581RICK" - ESSA - TIK - EVIN - "\u2581TAY" - ANDAR - "\u2581SHI" - ELA - "\u2581GAD" - "\u2581WIB" - "\u2581JE" - CHOLAS - YAM - "\u2581HARU" - "\u2581TUR" - "\u2581CHARL" - "\u2581SHAR" - JAYA - "\u2581HYUN" - X - "\u2581SYAH" - "\u2581LANCE" - LVIN - UKI - "\u2581PAPA" - "\u2581DARA" - AUDY - "\u2581SHA" - "\u2581SIT" - ARAH - SEA - "\u2581BUL" - "\u2581CO" - BANG - KEUN - LINA - RYA - "\u2581NGAR" - RIANA - "\u2581GEDE" - AWAN - "\u2581PANG" - "\u2581MELL" - AKE - STIAN - NDRA - "\u2581CAFE" - DAY - "\u2581BAD" - "\u2581LAUR" - "\u2581KRIS" - "\u2581REBO" - "\u2581NEP" - "\u2581ROBB" - "\u2581STONE" - BAH - WARD - "\u2581FAR" - LIA - "\u2581SORA" - PATI - "\u2581RATU" - "\u2581KAMAR" - "\u2581SUN" - "\u2581MEDIA" - EPP - "\u2581AGUS" - "\u2581MASA" - NDY - "\u2581LAM" - NDES - TINA - "\u2581DEV" - ISH - "\u2581GREEN" - ORO - BALE - "\u2581SURYA" - "\u2581PARK" - RAHMAN - IPUT - "\u2581GINANJAR" - REW - "\u2581VICTORIA" - "\u2581JANET" - "\u2581BAY" - OSTER - "\u2581STE" - "\u2581RITA" - "\u2581ARM" - "\u2581MAHER" - "\u2581CARE" - MELA - WART - ALIK - "\u2581ANGEL" - STRONG - "\u2581CRUISE" - "\u2581DANI" - "\u2581CLIN" - "\u2581AYEUNA" - "\u2581SONG" - "\u2581FACHR" - GITA - RANDA - "\u2581MAU" - KITA - ICIA - "\u2581FEB" - "\u2581ANT" - VIA - "\u2581TURNE" - PORT - "\u2581RAS" - LIU - "\u2581OCTA" - "\u2581KHALI" - OPH - "\u2581STEP" - "\u2581WEST" - "\u2581SEUNG" - HIM - "\u2581FERNAND" - LESTARI - "\u2581RY" - SCAR - REGAR - AMIR - SAPUTRA - "\u2581AGNES" - "\u2581MULYA" - HONY - AFFLE - "\u2581PERSI" - "\u2581CHE" - OLIVIA - "\u2581SALMA" - "\u2581RONAL" - HOPE - HUN - "\u2581ROSE" - ILARI - "\u2581KRISTEN" - "\u2581NOVITA" - "\u2581KAKA" - AMIL - "\u2581RON" - "\u2581CITA" - ALBAR - "\u2581VIR" - "\u2581FENI" - IOR - "\u2581LED" - "\u2581ELVI" - "\u2581YOON" - "\u2581RIDWAN" - "\u2581RAF" - "\u2581ASTRI" - "\u2581DUA" - "\u2581MILL" - "\u2581DES" - IEF - "\u2581TAM" - "\u2581ROY" - "\u2581KOES" - SUMA - "\u2581CHIN" - "\u2581ROD" - "\u2581PIT" - KARNA - LANK - "\u2581YAYAN" - "\u2581BIG" - "\u2581ANIS" - OHANG - QI - "\u2581ALAM" - "\u2581MEG" - MAHE - OWO - "\u2581DOMIN" - "\u2581CHER" - IMBERL - INTAN - MORE - "\u2581SUKA" - "\u2581NINI" - "\u2581STEFAN" - "\u2581CASE" - NAJ - SEUEUR - STER - "\u2581JORDAN" - "\u2581ARIF" - "\u2581KIRAN" - YAKI - ETTI - "\u2581YUNG" - ASIH - "\u2581SHEI" - QUE - "\u2581STEV" - "\u2581VER" - MAJA - "\u2581WAHYU" - "\u2581MICHE" - "\u2581BIMB" - HAB - "\u2581BAHA" - "\u2581CAME" - "\u2581ALEXAND" - "\u2581ZAC" - "\u2581FRED" - "\u2581PIER" - "\u2581PINK" - "\u2581THOM" - "\u2581DJ" - "\u2581EMIL" - GIE - "\u2581NICO" - "\u2581RUS" - "\u2581INDONESIA" - "\u2581KURNIA" - "\u2581FITRI" - IKO - YANA - "\u2581BOW" - LETT - "\u2581HOL" - "\u2581MONA" - "\u2581ANDY" - GHAZ - "\u2581MAG" - "\u2581NAD" - LANA - ESIH - ASMI - "\u2581ARMAND" - "\u2581ADE" - DJA - OVA - AURE - KUMAH - "\u2581DANU" - "\u2581JERE" - "\u2581KIM" - "\u2581HAZ" - "\u2581GAL" - DANE - "\u2581LEV" - "\u2581AMIN" - IBRA - "\u2581MELAN" - "\u2581LOUIS" - "\u2581PURNAMA" - CENT - "\u2581BRAMA" - "\u2581DANANG" - "\u2581DEVI" - "\u2581RANGGA" - "\u2581IQBA" - "\u2581POPP" - AYN - HETT - "\u2581DIMAS" - "\u2581MAND" - "\u2581NGAL" - "\u2581AGU" - "\u2581IVAN" - "\u2581FANN" - "\u2581IB" - "\u2581CLARK" - "\u2581HERMAN" - "\u2581ANA" - RELL - LIAM - LENN - USSY - "\u2581AHAD" - "\u2581RIRI" - OVI - NTEN - BRATA - RID - "\u2581ANNI" - "\u2581HERLIN" - "\u2581SULISTY" - SUHU - "\u2581ANDRE" - "\u2581SENEN" - "\u2581NAND" - NAGARA - "\u2581ANGGA" - "\u2581KRIST" - ACH - PIRANG - NDER - DARI - JUNG - STADI - "\u2581SALASA" - RLAND - "\u2581NGOPI" - "\u2581JUMAAH" - "\u2581MANG" - RANI - DHI - "\u2581RAMADHAN" - "\u2581KIR" - "\u2581RATUS" - "\u2581AISH" - DIANA - "\u2581MINGGON" - "\u2581KEMIS" - "\u2581LEO" - ASHI - "\u2581SHAN" - "\u2581BANDUNG" - "\u2581IWA" - "\u2581PANTAI" - WEN - "\u2581AWAK" - "\u2581PRESIDEN" - "\u2581NIR" - "\u2581MANCA" - "\u2581SAPTU" - CHA - "\u2581KARD" - NTUH - "\u2581MUSE" - STASI - KMAN - "\u2581FANS" - "\u2581ANYAR" - "\u2581ABI" - NGIR - "\u2581DONGKAP" - '5' - NGSI - Q - "\u2581PROPERT" - "\u2581NYIA" - NGGIH - "\u2581DIDAMEL" - "\u2581NASIONAL" - OLI - "\u2581KAAYA" - "\u2581KYL" - "\u2581UJANG" - "\u2581PENGG" - "\u2581POSTER" - "\u2581IEU" - IMAH - ANDRY - "\u2581KAGIATAN" - "\u2581KABUL" - ARIM - "\u2581RUPIAH" - CAGE - "\u2581MUSI" - "\u2581PART" - IBURAN - "\u2581GAGA" - SUF - "\u2581EFFE" - GEND - "\u2581BLACK" - "\u2581ALBA" - "\u2581KUNC" - "\u2581VALEN" - IJAH - "\u2581ANTARA" - OODY - JOL - "\u2581FOO" - "\u2581POLAND" - "\u2581METAL" - HYUN - ADONA - "\u2581ALEXA" - ARTI - "\u2581BUSH" - "\u2581NORT" - LICA - "\u2581GAMBAR" - "\u2581DOWN" - "\u2581QUEEN" - "\u2581STREE" - "\u2581CUT" - "\u2581BROK" - BEG - "\u2581STAN" - "\u2581QUI" - GBA - LEVI - RIGHT - "\u2581SEBA" - "\u2581WIZ" - IPAN - "\u2581SUMBANG" - "\u2581ROLL" - "\u2581KARNO" - ESTU - "\u2581ADJ" - "\u2581BIL" - AVO - "\u2581NGADA" - "\u2581KOKO" - "\u2581NABI" - "\u2581GOES" - "\u2581FIGHT" - "\u2581STILL" - "\u2581PATT" - RRES - ERENA - ILANG - ISTY - ATUM - "\u2581GUARDI" - ERJUN - "\u2581NGAGE" - "\u2581LOREN" - ETRAL - BIR - FRON - "\u2581SAHI" - "\u2581MISS" - "\u2581GRAND" - "\u2581GIGI" - "\u2581HYD" - "\u2581APPLE" - UYAN - "\u2581WINTER" - "\u2581PETRA" - MAJU - "\u2581BATU" - "\u2581MIHAR" - "\u2581BIDE" - "\u2581CECEP" - DIANTO - DINI - "\u2581AFGAN" - "\u2581WALK" - "\u2581CASI" - "\u2581DAMON" - "\u2581GARE" - "\u2581GAWE" - "\u2581MERC" - "\u2581TRAIN" - "\u2581TULU" - "\u2581KEYS" - "\u2581NGALAMA" - "\u2581BROWN" - "\u2581MAYORI" - "\u2581ELLI" - "\u2581GEUS" - "\u2581MEUNANG" - "\u2581KEND" - IKER - SUT - RAIG - "\u2581SYARIF" - TEMAT - ORGAN - COTT - LLAS - "\u2581PANDU" - "\u2581PANGAB" - "\u2581WALT" - "\u2581SUPER" - EXTO - IPT - "\u2581MOSS" - "\u2581NASSA" - "\u2581HUG" - NADIA - JUB - HANKS - "\u2581GRACE" - EATING - ARDIAN - "\u2581WISNU" - "\u2581ANGKAT" - "\u2581KOME" - NCER - BIP - SLIM - "\u2581HYE" - USSE - RENCE - LOPE - AKAMA - SAHANA - "\u2581INTERNET" - "\u2581MUKTI" - UTS - "\u2581TERE" - "\u2581POP" - "\u2581MULAN" - "\u2581BUNGA" - "\u2581USAHA" - BRUG - "\u2581SCR" - "\u2581WATSON" - "\u2581SLAV" - PLAY - "\u2581RIYAD" - "\u2581FELT" - RAINI - "\u2581MUCH" - AMUNGK - "\u2581BANK" - "\u2581DUNYA" - "\u2581FALS" - BET - MUSU - "\u2581BLOOM" - "\u2581HIGH" - "\u2581LILIS" - "\u2581KOLO" - "\u2581BRUNO" - "\u2581AJI" - COCK - "\u2581PRIM" - "\u2581UNTUNG" - "\u2581STAT" - "\u2581HILL" - "\u2581ROBIN" - "\u2581GRAVE" - "\u2581MORRIS" - RAJAT - "\u2581GEORGE" - "\u2581UTAMI" - "\u2581FORD" - "\u2581PISAN" - "\u2581JULI" - ROACH - HIK - "\u2581SAKULIA" - "\u2581CAKRA" - "\u2581SOLIHUN" - RUMP - "\u2581NANI" - CULES - HINI - "\u2581HYU" - "\u2581GEORGI" - "\u2581PUTRA" - "\u2581JEONG" - VITA - "\u2581REST" - "\u2581PEGG" - LUNT - ONALD - "\u2581BEAT" - ICHO - AVEN - "\u2581SARDI" - OLEH - PUTIN - TIANA - "\u2581CUCU" - HARGA - PUSPA - "\u2581CROW" - "\u2581ISLAM" - "\u2581PERMAN" - "\u2581NUNU" - "\u2581BUBBLE" - "\u2581SUKSES" - "\u2581SUGAND" - BAGJA - LESTI - IFFE - PHAR - "\u2581APRIL" - "\u2581AGAT" - "\u2581ARCH" - "\u2581SHEE" - "\u2581GILL" - "\u2581COFF" - STISI - "\u2581ENDANG" - INDRO - OBAN - GALUNG - PPIE - "\u2581PETE" - "\u2581BAREN" - BOURNE - LESIA - MAIL - "\u2581PRINCE" - "\u2581LANGIT" - SWOR - SEBAT - TISS - UWAI - "\u2581WEI" - NIGHT - SADEW - DALE - AMBO - IGG - AGASKAR - "\u2581HEATH" - RESNA - HALLE - AMIT - "\u2581BRANCH" - AKOTA - "\u2581BARB" - "\u2581CHEMI" - "\u2581PRIATNA" - '0' - "\u2581COBA" - "\u2581ESPE" - ITJE - WULAN - "\u2581GUGUM" - NSIL - UNGSU - "\u2581BLUE" - "\u2581ASEP" - TILES - UCI - ITEPU - "\u2581PROJECT" - PPOL - "\xCD" - '1' - '"' - '6' - '2' - '3' - '8' - '''' - '9' - '7' - '4' - '!' - "\xC8" - ',' - ; - '&' - "\xC4" - "\xD1" - "\u014C" - sos: 999 tokenizer: bpemodel: models/asr/su_openslr36/bpe.model token_type: bpe transducer: use_transducer_decoder: false weights: ctc: 0.3 decoder: 0.7 length_bonus: 0.0 lm: 1.0 ngram: 0.9