add pretrained models

conf/conformer_rnnt.yaml

@@ -0,0 +1,100 @@
+# network architecture
+# encoder related
+encoder: conformer
+encoder_conf:
+    output_size: 256    # dimension of attention
+    attention_heads: 4
+    linear_units: 2048  # the number of units of position-wise feed forward
+    num_blocks: 12      # the number of encoder blocks
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: conv2d # encoder input type, you can chose conv2d, conv2d6 and conv2d8
+    normalize_before: true
+    cnn_module_kernel: 15
+    use_cnn_module: true
+    activation_type: 'swish'
+    pos_enc_layer_type: 'rel_pos'
+    selfattention_layer_type: 'rel_selfattn'
+
+
+joint_conf:
+    join_dim: 512
+    prejoin_linear: True
+    postjoin_linear: false
+    joint_mode: 'add'
+    activation: 'tanh'
+
+predictor: rnn
+predictor_conf:
+    embed_size: 256
+    output_size: 256
+    embed_dropout: 0.1
+    hidden_size: 256
+    num_layers: 2
+    bias: true
+    rnn_type: 'lstm'
+    dropout: 0.1
+
+decoder: bitransformer
+decoder_conf:
+  attention_heads: 4
+  dropout_rate: 0.1
+  linear_units: 2048
+  num_blocks: 3
+  positional_dropout_rate: 0.1
+  r_num_blocks: 3
+  self_attention_dropout_rate: 0.1
+  src_attention_dropout_rate: 0.1
+
+# hybrid transducer+ctc+attention
+model_conf:
+    transducer_weight: 0.75
+    ctc_weight: 0.1
+    attention_weight: 0.15
+    lsm_weight: 0.1     # label smoothing option
+    length_normalized_loss: false
+    reverse_weight: 0.3
+
+dataset_conf:
+    filter_conf:
+        max_length: 1650
+        min_length: 10
+        token_max_length: 200
+        token_min_length: 1
+    resample_conf:
+        resample_rate: 16000
+    speed_perturb: true
+    fbank_conf:
+        num_mel_bins: 80
+        frame_shift: 10
+        frame_length: 25
+        dither: 0.1
+    spec_aug: true
+    spec_aug_conf:
+        num_t_mask: 2
+        num_f_mask: 2
+        max_t: 50
+        max_f: 10
+    shuffle: true
+    shuffle_conf:
+        shuffle_size: 1500
+    sort: true
+    sort_conf:
+        sort_size: 500  # sort_size should be less than shuffle_size
+    batch_conf:
+        batch_type: 'dynamic' # static or dynamic
+        max_frames_in_batch: 4000
+
+grad_clip: 4
+accum_grad: 1
+max_epoch: 140
+log_interval: 100
+
+optim: adam
+optim_conf:
+    lr: 0.001
+scheduler: warmuplr     # pytorch v1.1.0+ required
+scheduler_conf:
+    warmup_steps: 25000
+

data/lang_char/train_960_unigram5000.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2375a547608e32f0c397008cc8b82b97483a2f6a5d3a6dc7d29077fcf823497
+size 325139

data/lang_char/train_960_unigram5000.vocab

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+▁CONTACT 1309
+▁CONTAIN 1310
+▁CONTEMPLATE 1311
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+▁CONTRACT 1321
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+▁CONVERT 1332
+▁CONVEY 1333
+▁CONVICT 1334
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+▁CONVINCE 1336
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+▁DISAPPOINT 1584
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+▁DISH 1603
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+▁DISTANCE 1614
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+▁DREAD 1670
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+▁PICTURE 3387
+▁PIECE 3388
+▁PIECES 3389
+▁PIERCED 3390
+▁PIERRE 3391
+▁PIG 3392
+▁PILE 3393
+▁PILGRIM 3394
+▁PILL 3395
+▁PILLOW 3396
+▁PILOT 3397
+▁PIN 3398
+▁PINE 3399
+▁PINK 3400
+▁PINOCCHIO 3401
+▁PIPE 3402
+▁PIRATE 3403
+▁PISTOL 3404
+▁PIT 3405
+▁PITCH 3406
+▁PITIFUL 3407
+▁PITY 3408
+▁PLA 3409
+▁PLAC 3410
+▁PLACE 3411
+▁PLACED 3412
+▁PLACES 3413
+▁PLAGUE 3414
+▁PLAIN 3415
+▁PLAINLY 3416
+▁PLAN 3417
+▁PLANET 3418
+▁PLANT 3419
+▁PLATE 3420
+▁PLATFORM 3421
+▁PLAY 3422
+▁PLAYED 3423
+▁PLAYING 3424
+▁PLEA 3425
+▁PLEASANT 3426
+▁PLEASE 3427
+▁PLEASED 3428
+▁PLEASURE 3429
+▁PLEDGE 3430
+▁PLENTY 3431
+▁PLOT 3432
+▁PLOUGH 3433
+▁PLUCK 3434
+▁PLUM 3435
+▁PLUNDER 3436
+▁PLUNGE 3437
+▁PO 3438
+▁POCKET 3439
+▁POEM 3440
+▁POET 3441
+▁POETRY 3442
+▁POINT 3443
+▁POINTED 3444
+▁POISON 3445
+▁POLE 3446
+▁POLICE 3447
+▁POLICY 3448
+▁POLISH 3449
+▁POLITE 3450
+▁POLITICAL 3451
+▁POLITICS 3452
+▁POLLY 3453
+▁POND 3454
+▁PONY 3455
+▁POOL 3456
+▁POOR 3457
+▁POPE 3458
+▁POPULAR 3459
+▁POPULATION 3460
+▁PORCH 3461
+▁PORT 3462
+▁PORTHOS 3463
+▁PORTION 3464
+▁PORTRAIT 3465
+▁POSITION 3466
+▁POSITIVE 3467
+▁POSSESS 3468
+▁POSSESSED 3469
+▁POSSESSION 3470
+▁POSSIBILITY 3471
+▁POSSIBLE 3472
+▁POSSIBLY 3473
+▁POST 3474
+▁POT 3475
+▁POUND 3476
+▁POUNDS 3477
+▁POUR 3478
+▁POVERTY 3479
+▁POWDER 3480
+▁POWER 3481
+▁POWERFUL 3482
+▁POWERS 3483
+▁PRA 3484
+▁PRACTICAL 3485
+▁PRACTICE 3486
+▁PRACTISE 3487
+▁PRAIRIE 3488
+▁PRAISE 3489
+▁PRAY 3490
+▁PRAYER 3491
+▁PRE 3492
+▁PREACH 3493
+▁PRECAUTION 3494
+▁PRECEDE 3495
+▁PRECEDING 3496
+▁PRECIOUS 3497
+▁PRECISE 3498
+▁PRECISELY 3499
+▁PREFER 3500
+▁PREFERRED 3501
+▁PREJUDICE 3502
+▁PREPARATION 3503
+▁PREPARE 3504
+▁PREPARED 3505
+▁PREPARING 3506
+▁PRESENCE 3507
+▁PRESENT 3508
+▁PRESENTED 3509
+▁PRESENTLY 3510
+▁PRESERV 3511
+▁PRESIDENT 3512
+▁PRESS 3513
+▁PRESSED 3514
+▁PRESSURE 3515
+▁PRESUME 3516
+▁PRETEND 3517
+▁PRETTY 3518
+▁PREVAIL 3519
+▁PREVENT 3520
+▁PREVIOUS 3521
+▁PRI 3522
+▁PRICE 3523
+▁PRIDE 3524
+▁PRIEST 3525
+▁PRIMITIVE 3526
+▁PRINCE 3527
+▁PRINCESS 3528
+▁PRINCIPAL 3529
+▁PRINCIPLE 3530
+▁PRINT 3531
+▁PRISCILLA 3532
+▁PRISON 3533
+▁PRISONER 3534
+▁PRIVATE 3535
+▁PRIVILEGE 3536
+▁PRO 3537
+▁PROBABILITY 3538
+▁PROBABLE 3539
+▁PROBABLY 3540
+▁PROBLEM 3541
+▁PROCEED 3542
+▁PROCEEDED 3543
+▁PROCESS 3544
+▁PROCLAIM 3545
+▁PROCURE 3546
+▁PRODUCE 3547
+▁PRODUCED 3548
+▁PRODUCING 3549
+▁PRODUCT 3550
+▁PROFESS 3551
+▁PROFESSION 3552
+▁PROFESSOR 3553
+▁PROFIT 3554
+▁PROFOUND 3555
+▁PROGRESS 3556
+▁PROHIBIT 3557
+▁PROJECT 3558
+▁PROMINENT 3559
+▁PROMISE 3560
+▁PROMISED 3561
+▁PROMISING 3562
+▁PROMOTE 3563
+▁PROMPT 3564
+▁PRONOUNC 3565
+▁PROOF 3566
+▁PROP 3567
+▁PROPER 3568
+▁PROPERLY 3569
+▁PROPERTY 3570
+▁PROPHET 3571
+▁PROPORTION 3572
+▁PROPOSAL 3573
+▁PROPOSE 3574
+▁PROPOSED 3575
+▁PROPOSITION 3576
+▁PROPRIETOR 3577
+▁PROSPECT 3578
+▁PROSPERITY 3579
+▁PROTECT 3580
+▁PROTECTION 3581
+▁PROTEST 3582
+▁PROUD 3583
+▁PROVE 3584
+▁PROVED 3585
+▁PROVERB 3586
+▁PROVIDE 3587
+▁PROVIDED 3588
+▁PROVINCE 3589
+▁PROVISION 3590
+▁PROVOKE 3591
+▁PRUDENCE 3592
+▁PRUDENT 3593
+▁PSMITH 3594
+▁PU 3595
+▁PUBLIC 3596
+▁PUBLISH 3597
+▁PUFF 3598
+▁PULL 3599
+▁PULLED 3600
+▁PULSE 3601
+▁PUNISH 3602
+▁PUNISHMENT 3603
+▁PUPIL 3604
+▁PUR 3605
+▁PURCHASE 3606
+▁PURE 3607
+▁PURPLE 3608
+▁PURPOSE 3609
+▁PURSE 3610
+▁PURSUE 3611
+▁PURSUED 3612
+▁PURSUIT 3613
+▁PUSH 3614
+▁PUSHED 3615
+▁PUT 3616
+▁PUTTING 3617
+▁QUA 3618
+▁QUAINT 3619
+▁QUALITIES 3620
+▁QUALITY 3621
+▁QUANTITY 3622
+▁QUARREL 3623
+▁QUARTER 3624
+▁QUEEN 3625
+▁QUEER 3626
+▁QUESTION 3627
+▁QUESTIONS 3628
+▁QUI 3629
+▁QUICK 3630
+▁QUICKLY 3631
+▁QUIET 3632
+▁QUIETLY 3633
+▁QUITE 3634
+▁QUIVER 3635
+▁QUIXOTE 3636
+▁QUO 3637
+▁QUOTH 3638
+▁R 3639
+▁RA 3640
+▁RABBIT 3641
+▁RACE 3642
+▁RACHEL 3643
+▁RADIANT 3644
+▁RAG 3645
+▁RAGE 3646
+▁RAIL 3647
+▁RAILROAD 3648
+▁RAILWAY 3649
+▁RAIN 3650
+▁RAINBOW 3651
+▁RAISE 3652
+▁RAISED 3653
+▁RAISING 3654
+▁RALPH 3655
+▁RAM 3656
+▁RAN 3657
+▁RANG 3658
+▁RANGE 3659
+▁RANK 3660
+▁RAOUL 3661
+▁RAPID 3662
+▁RAPIDLY 3663
+▁RARE 3664
+▁RASCAL 3665
+▁RATE 3666
+▁RATHER 3667
+▁RATIONAL 3668
+▁RATTL 3669
+▁RAVEN 3670
+▁RAY 3671
+▁RE 3672
+▁REACH 3673
+▁REACHED 3674
+▁REACTION 3675
+▁READ 3676
+▁READER 3677
+▁READILY 3678
+▁READING 3679
+▁READY 3680
+▁REAL 3681
+▁REALI 3682
+▁REALITY 3683
+▁REALLY 3684
+▁REAR 3685
+▁REASON 3686
+▁REBECCA 3687
+▁REBEL 3688
+▁RECALL 3689
+▁RECEIVE 3690
+▁RECEIVED 3691
+▁RECEIVING 3692
+▁RECENT 3693
+▁RECEPTION 3694
+▁RECESS 3695
+▁RECIT 3696
+▁RECKLESS 3697
+▁RECKON 3698
+▁RECOGNI 3699
+▁RECOLLECT 3700
+▁RECOLLECTION 3701
+▁RECOMMEND 3702
+▁RECONCIL 3703
+▁RECORD 3704
+▁RECOVER 3705
+▁RECOVERED 3706
+▁RED 3707
+▁REDUCED 3708
+▁REFER 3709
+▁REFERENCE 3710
+▁REFINED 3711
+▁REFLECT 3712
+▁REFLECTION 3713
+▁REFORM 3714
+▁REFRAIN 3715
+▁REFRESH 3716
+▁REFUGE 3717
+▁REFUSE 3718
+▁REFUSED 3719
+▁REGAIN 3720
+▁REGARD 3721
+▁REGARDED 3722
+▁REGIMENT 3723
+▁REGION 3724
+▁REGRET 3725
+▁REGULAR 3726
+▁REGULAT 3727
+▁REIGN 3728
+▁REJECT 3729
+▁REJOICE 3730
+▁REJOICING 3731
+▁RELATE 3732
+▁RELATED 3733
+▁RELATION 3734
+▁RELATIVE 3735
+▁RELAX 3736
+▁RELEASE 3737
+▁RELI 3738
+▁RELIEF 3739
+▁RELIEVE 3740
+▁RELIGION 3741
+▁RELIGIOUS 3742
+▁RELUCTANT 3743
+▁REMAIN 3744
+▁REMAINED 3745
+▁REMARK 3746
+▁REMARKABLE 3747
+▁REMARKED 3748
+▁REMEDY 3749
+▁REMEMBER 3750
+▁REMEMBERED 3751
+▁REMEMBRANCE 3752
+▁REMIND 3753
+▁REMORSE 3754
+▁REMOTE 3755
+▁REMOVE 3756
+▁REMOVED 3757
+▁RENDER 3758
+▁RENDERED 3759
+▁RENEW 3760
+▁RENT 3761
+▁REP 3762
+▁REPAIR 3763
+▁REPEAT 3764
+▁REPEATED 3765
+▁REPENT 3766
+▁REPLIED 3767
+▁REPLY 3768
+▁REPORT 3769
+▁REPRESENT 3770
+▁REPRESENTATIVE 3771
+▁REPROACH 3772
+▁REPUBLIC 3773
+▁REPUTATION 3774
+▁REQUEST 3775
+▁REQUIRE 3776
+▁REQUIRED 3777
+▁RESCUE 3778
+▁RESEMBLANCE 3779
+▁RESEMBLE 3780
+▁RESERVE 3781
+▁RESIDENCE 3782
+▁RESIGN 3783
+▁RESIST 3784
+▁RESISTANCE 3785
+▁RESOLUTE 3786
+▁RESOLUTION 3787
+▁RESOLVED 3788
+▁RESORT 3789
+▁RESOURCE 3790
+▁RESPECT 3791
+▁RESPONSE 3792
+▁RESPONSIBILITY 3793
+▁RESPONSIBLE 3794
+▁REST 3795
+▁RESTLESS 3796
+▁RESTORE 3797
+▁RESTRAIN 3798
+▁RESULT 3799
+▁RESUMED 3800
+▁RETAIN 3801
+▁RETIRE 3802
+▁RETIRED 3803
+▁RETORTED 3804
+▁RETREAT 3805
+▁RETURN 3806
+▁RETURNED 3807
+▁RETURNING 3808
+▁REV 3809
+▁REVEAL 3810
+▁REVELATION 3811
+▁REVENGE 3812
+▁REVER 3813
+▁REVIEW 3814
+▁REVOLT 3815
+▁REVOLUTION 3816
+▁REWARD 3817
+▁RI 3818
+▁RIBBON 3819
+▁RICH 3820
+▁RICHARD 3821
+▁RICHMOND 3822
+▁RID 3823
+▁RIDE 3824
+▁RIDICULOUS 3825
+▁RIDING 3826
+▁RIFLE 3827
+▁RIGHT 3828
+▁RIGHTEOUS 3829
+▁RIGID 3830
+▁RING 3831
+▁RIPE 3832
+▁RISE 3833
+▁RISING 3834
+▁RISK 3835
+▁RIVAL 3836
+▁RIVER 3837
+▁RO 3838
+▁ROAD 3839
+▁ROAR 3840
+▁ROAST 3841
+▁ROB 3842
+▁ROBBER 3843
+▁ROBE 3844
+▁ROBERT 3845
+▁ROBIN 3846
+▁ROCK 3847
+▁ROCKS 3848
+▁RODE 3849
+▁ROLL 3850
+▁ROLLED 3851
+▁ROMAN 3852
+▁ROME 3853
+▁ROOF 3854
+▁ROOM 3855
+▁ROOT 3856
+▁ROPE 3857
+▁ROSA 3858
+▁ROSE 3859
+▁ROUGH 3860
+▁ROUND 3861
+▁ROUSED 3862
+▁ROUTE 3863
+▁ROW 3864
+▁ROYAL 3865
+▁RU 3866
+▁RUB 3867
+▁RUBBED 3868
+▁RUBBING 3869
+▁RUDE 3870
+▁RUIN 3871
+▁RULE 3872
+▁RUM 3873
+▁RUN 3874
+▁RUNNING 3875
+▁RUSH 3876
+▁RUSHED 3877
+▁RUSSIA 3878
+▁RUSSIAN 3879
+▁RUTH 3880
+▁S 3881
+▁SA 3882
+▁SACRED 3883
+▁SACRIFICE 3884
+▁SAD 3885
+▁SADDLE 3886
+▁SAFE 3887
+▁SAFETY 3888
+▁SAID 3889
+▁SAIL 3890
+▁SAILOR 3891
+▁SAINT 3892
+▁SAKE 3893
+▁SAL 3894
+▁SALT 3895
+▁SALUTE 3896
+▁SAM 3897
+▁SAME 3898
+▁SAMUEL 3899
+▁SAN 3900
+▁SANCHO 3901
+▁SAND 3902
+▁SANG 3903
+▁SANK 3904
+▁SARAH 3905
+▁SAT 3906
+▁SATISFACTION 3907
+▁SATISFACTORY 3908
+▁SATISFIED 3909
+▁SATISFY 3910
+▁SATURDAY 3911
+▁SAUCE 3912
+▁SAVAGE 3913
+▁SAVE 3914
+▁SAVED 3915
+▁SAVING 3916
+▁SAW 3917
+▁SAY 3918
+▁SAYING 3919
+▁SAYS 3920
+▁SC 3921
+▁SCA 3922
+▁SCALE 3923
+▁SCANDAL 3924
+▁SCAR 3925
+▁SCARCE 3926
+▁SCARCELY 3927
+▁SCARECROW 3928
+▁SCARLET 3929
+▁SCATTERED 3930
+▁SCENE 3931
+▁SCENT 3932
+▁SCH 3933
+▁SCHEME 3934
+▁SCHOLAR 3935
+▁SCHOOL 3936
+▁SCIENCE 3937
+▁SCIENTIFIC 3938
+▁SCOLD 3939
+▁SCORE 3940
+▁SCORN 3941
+▁SCOTCH 3942
+▁SCOTLAND 3943
+▁SCOTT 3944
+▁SCOUNDREL 3945
+▁SCOUT 3946
+▁SCRAMBLE 3947
+▁SCRAP 3948
+▁SCRATCH 3949
+▁SCREAM 3950
+▁SCREEN 3951
+▁SCREW 3952
+▁SCROOGE 3953
+▁SE 3954
+▁SEA 3955
+▁SEAL 3956
+▁SEARCH 3957
+▁SEASON 3958
+▁SEAT 3959
+▁SEATED 3960
+▁SECOND 3961
+▁SECRET 3962
+▁SECRETARY 3963
+▁SECTION 3964
+▁SECURE 3965
+▁SECURITY 3966
+▁SEE 3967
+▁SEEING 3968
+▁SEEK 3969
+▁SEEM 3970
+▁SEEMED 3971
+▁SEEMS 3972
+▁SEEN 3973
+▁SEI 3974
+▁SELDOM 3975
+▁SELECT 3976
+▁SELF 3977
+▁SELFISH 3978
+▁SELL 3979
+▁SENATE 3980
+▁SENATOR 3981
+▁SEND 3982
+▁SENSATION 3983
+▁SENSE 3984
+▁SENSIBLE 3985
+▁SENSITIVE 3986
+▁SENT 3987
+▁SENTENCE 3988
+▁SENTIMENT 3989
+▁SEPARATE 3990
+▁SEPARATED 3991
+▁SEPTEMBER 3992
+▁SER 3993
+▁SERENE 3994
+▁SERGEANT 3995
+▁SERIES 3996
+▁SERIOUS 3997
+▁SERMON 3998
+▁SERPENT 3999
+▁SERVANT 4000
+▁SERVANTS 4001
+▁SERVE 4002
+▁SERVED 4003
+▁SERVICE 4004
+▁SERVING 4005
+▁SET 4006
+▁SETTING 4007
+▁SETTLE 4008
+▁SETTLED 4009
+▁SEVEN 4010
+▁SEVENTEEN 4011
+▁SEVENTY 4012
+▁SEVERAL 4013
+▁SEVERE 4014
+▁SEX 4015
+▁SH 4016
+▁SHA 4017
+▁SHADE 4018
+▁SHADOW 4019
+▁SHAGGY 4020
+▁SHAKE 4021
+▁SHAKESPEARE 4022
+▁SHAKING 4023
+▁SHALL 4024
+▁SHAME 4025
+▁SHAPE 4026
+▁SHARE 4027
+▁SHARP 4028
+▁SHARPLY 4029
+▁SHAWL 4030
+▁SHE 4031
+▁SHEEP 4032
+▁SHELTER 4033
+▁SHEPHERD 4034
+▁SHERIFF 4035
+▁SHIELD 4036
+▁SHIFT 4037
+▁SHILLING 4038
+▁SHINE 4039
+▁SHINING 4040
+▁SHIP 4041
+▁SHIPS 4042
+▁SHIRT 4043
+▁SHIVER 4044
+▁SHOCK 4045
+▁SHOE 4046
+▁SHOES 4047
+▁SHONE 4048
+▁SHOOK 4049
+▁SHOOT 4050
+▁SHOP 4051
+▁SHORE 4052
+▁SHORT 4053
+▁SHOT 4054
+▁SHOULD 4055
+▁SHOULDER 4056
+▁SHOULDERS 4057
+▁SHOUT 4058
+▁SHOUTED 4059
+▁SHOW 4060
+▁SHOWED 4061
+▁SHOWN 4062
+▁SHREWD 4063
+▁SHRIEK 4064
+▁SHRILL 4065
+▁SHRINK 4066
+▁SHUDDER 4067
+▁SHUT 4068
+▁SI 4069
+▁SICK 4070
+▁SIDE 4071
+▁SIDES 4072
+▁SIEGE 4073
+▁SIGH 4074
+▁SIGHED 4075
+▁SIGHT 4076
+▁SIGN 4077
+▁SIGNAL 4078
+▁SIGNIFICANCE 4079
+▁SIGNIFICANT 4080
+▁SILENCE 4081
+▁SILENT 4082
+▁SILK 4083
+▁SILLY 4084
+▁SILVER 4085
+▁SIMILAR 4086
+▁SIMON 4087
+▁SIMPLE 4088
+▁SIMPLICITY 4089
+▁SIMPLY 4090
+▁SIN 4091
+▁SINCE 4092
+▁SING 4093
+▁SINGING 4094
+▁SINGLE 4095
+▁SINGULAR 4096
+▁SINK 4097
+▁SIR 4098
+▁SISTER 4099
+▁SIT 4100
+▁SITTING 4101
+▁SITUATED 4102
+▁SITUATION 4103
+▁SIX 4104
+▁SIXTEEN 4105
+▁SIXTY 4106
+▁SKETCH 4107
+▁SKI 4108
+▁SKILFUL 4109
+▁SKILL 4110
+▁SKIN 4111
+▁SKIRT 4112
+▁SKULL 4113
+▁SKY 4114
+▁SLAIN 4115
+▁SLAUGHTER 4116
+▁SLAVE 4117
+▁SLAVERY 4118
+▁SLAVES 4119
+▁SLEDGE 4120
+▁SLEEP 4121
+▁SLEEVE 4122
+▁SLENDER 4123
+▁SLEPT 4124
+▁SLEW 4125
+▁SLICE 4126
+▁SLID 4127
+▁SLIGHT 4128
+▁SLIGHTEST 4129
+▁SLIGHTLY 4130
+▁SLIM 4131
+▁SLIP 4132
+▁SLIPPED 4133
+▁SLO 4134
+▁SLOPE 4135
+▁SLOW 4136
+▁SLOWLY 4137
+▁SLUMBER 4138
+▁SMALL 4139
+▁SMART 4140
+▁SMASH 4141
+▁SMELL 4142
+▁SMILE 4143
+▁SMILED 4144
+▁SMILING 4145
+▁SMITH 4146
+▁SMOKE 4147
+▁SMOKING 4148
+▁SMOOTH 4149
+▁SMOT 4150
+▁SNAKE 4151
+▁SNAP 4152
+▁SNATCH 4153
+▁SNEER 4154
+▁SNOW 4155
+▁SO 4156
+▁SOCIAL 4157
+▁SOCIETY 4158
+▁SOFT 4159
+▁SOFTLY 4160
+▁SOIL 4161
+▁SOLD 4162
+▁SOLDIER 4163
+▁SOLDIERS 4164
+▁SOLEMN 4165
+▁SOLICIT 4166
+▁SOLID 4167
+▁SOLITARY 4168
+▁SOLITUDE 4169
+▁SOLOMON 4170
+▁SOLUTION 4171
+▁SOME 4172
+▁SOMEBODY 4173
+▁SOMEHOW 4174
+▁SOMEONE 4175
+▁SOMETHING 4176
+▁SOMETIMES 4177
+▁SOMEWHAT 4178
+▁SOMEWHERE 4179
+▁SON 4180
+▁SONG 4181
+▁SOON 4182
+▁SOONER 4183
+▁SOOTH 4184
+▁SORROW 4185
+▁SORRY 4186
+▁SORT 4187
+▁SOUGHT 4188
+▁SOUL 4189
+▁SOUND 4190
+▁SOURCE 4191
+▁SOUTH 4192
+▁SOUTHERN 4193
+▁SOVEREIGN 4194
+▁SP 4195
+▁SPACE 4196
+▁SPAIN 4197
+▁SPAKE 4198
+▁SPANIARD 4199
+▁SPANISH 4200
+▁SPAR 4201
+▁SPARE 4202
+▁SPARK 4203
+▁SPEAK 4204
+▁SPEAKING 4205
+▁SPEAR 4206
+▁SPECIAL 4207
+▁SPECIES 4208
+▁SPECIMEN 4209
+▁SPECK 4210
+▁SPECTACLE 4211
+▁SPECTATOR 4212
+▁SPECULAT 4213
+▁SPEECH 4214
+▁SPEED 4215
+▁SPELL 4216
+▁SPEND 4217
+▁SPENT 4218
+▁SPHERE 4219
+▁SPI 4220
+▁SPIN 4221
+▁SPIRIT 4222
+▁SPIRITS 4223
+▁SPIRITUAL 4224
+▁SPITE 4225
+▁SPLASH 4226
+▁SPLENDID 4227
+▁SPLENDOR 4228
+▁SPLIT 4229
+▁SPOIL 4230
+▁SPOKE 4231
+▁SPOKEN 4232
+▁SPOON 4233
+▁SPORT 4234
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exp/conformer_transducer/train.yaml

@@ -0,0 +1,92 @@
+accum_grad: 1
+cmvn_file: data/train_960/global_cmvn
+dataset_conf:
+  batch_conf:
+    batch_type: dynamic
+    max_frames_in_batch: 4000
+  fbank_conf:
+    dither: 0.1
+    frame_length: 25
+    frame_shift: 10
+    num_mel_bins: 80
+  filter_conf:
+    max_length: 1650
+    min_length: 10
+    token_max_length: 200
+    token_min_length: 1
+  resample_conf:
+    resample_rate: 16000
+  shuffle: true
+  shuffle_conf:
+    shuffle_size: 1500
+  sort: true
+  sort_conf:
+    sort_size: 500
+  spec_aug: true
+  spec_aug_conf:
+    max_f: 10
+    max_t: 50
+    num_f_mask: 2
+    num_t_mask: 2
+  speed_perturb: true
+decoder: bitransformer
+decoder_conf:
+  attention_heads: 4
+  dropout_rate: 0.1
+  linear_units: 2048
+  num_blocks: 3
+  positional_dropout_rate: 0.1
+  r_num_blocks: 3
+  self_attention_dropout_rate: 0.1
+  src_attention_dropout_rate: 0.1
+encoder: conformer
+encoder_conf:
+  activation_type: swish
+  attention_dropout_rate: 0.1
+  attention_heads: 4
+  cnn_module_kernel: 15
+  dropout_rate: 0.1
+  input_layer: conv2d
+  linear_units: 2048
+  normalize_before: true
+  num_blocks: 12
+  output_size: 256
+  pos_enc_layer_type: rel_pos
+  positional_dropout_rate: 0.1
+  selfattention_layer_type: rel_selfattn
+  use_cnn_module: true
+grad_clip: 4
+input_dim: 80
+is_json_cmvn: true
+joint_conf:
+  activation: tanh
+  join_dim: 512
+  joint_mode: add
+  postjoin_linear: false
+  prejoin_linear: true
+log_interval: 100
+max_epoch: 140
+model_conf:
+  attention_weight: 0.15
+  ctc_weight: 0.1
+  length_normalized_loss: false
+  lsm_weight: 0.1
+  reverse_weight: 0.3
+  transducer_weight: 0.75
+optim: adam
+optim_conf:
+  lr: 0.001
+output_dim: 5002
+predictor: rnn
+predictor_conf:
+  bias: true
+  dropout: 0.1
+  embed_dropout: 0.1
+  embed_size: 256
+  hidden_size: 256
+  num_layers: 2
+  output_size: 256
+  rnn_type: lstm
+scheduler: warmuplr
+scheduler_conf:
+  warmup_steps: 25000

tensorboard/conformer_transducer/events.out.tfevents.1659139373.3181922

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+size 33147479