ESPnet2 pretrained model, kamo-naoyuki/librispeech_asr_train_asr_conformer5_raw_bpe5000_frontend_confn_fft400_frontend_confhop_length160_scheduler_confwarmup_steps25000_batch_bins140000000_optim_conflr0.0015_initnone_sp_valid.acc.ave, fs=16k, lang=en
Creators: name: Kamo-Naoyuki
Publisher: name: Zenodo
Year: 2021
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by kamo-naoyuki using librispeech recipe in espnet. <strong>Python API</strong><pre><code class="language-python">See https://github.com/espnet/espnet_model_zoo</code></pre> <strong>Evaluate in the recipe</strong><pre><code class="language-bash">git clone https://github.com/espnet/espnet cd espnet git checkout 9779891b9cc09b29777457d5962a92b6c7cace18 pip install -e . cd egs2/librispeech/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model kamo-naoyuki/librispeech_asr_train_asr_conformer5_raw_bpe5000_frontend_confn_fft400_frontend_confhop_length160_scheduler_confwarmup_steps25000_batch_bins140000000_optim_conflr0.0015_initnone_sp_valid.acc.ave</code> </pre> <strong>Results</strong><pre><code> # RESULTS ## Environments - date: `Mon Feb 15 07:02:24 UTC 2021` - python version: `3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]` - espnet version: `espnet 0.9.6` - pytorch version: `pytorch 1.7.1` - Git hash: `8eff1a983f6098111619328a7d8254974ae9dfca` - Commit date: `Wed Dec 16 02:22:50 2020 +0000` ## asr_train_asr_conformer5_raw_bpe5000_frontend_confn_fft400_frontend_confhop_length160_scheduler_confwarmup_steps25000_batch_bins140000000_optim_conflr0.0015_initnone_sp ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|54402|97.8|2.0|0.2|0.3|2.5|30.7| |decode_asr_asr_model_valid.acc.ave/dev_other|2864|50948|94.0|5.4|0.5|0.6|6.6|50.7| |decode_asr_asr_model_valid.acc.ave/test_clean|2620|52576|97.6|2.1|0.2|0.3|2.6|31.1| |decode_asr_asr_model_valid.acc.ave/test_other|2939|52343|94.1|5.3|0.5|0.7|6.6|52.1| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/dev_clean|2703|54402|98.2|1.6|0.2|0.2|2.0|25.5| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/dev_other|2864|50948|95.6|3.9|0.5|0.5|4.9|41.6| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/test_clean|2620|52576|98.1|1.7|0.2|0.3|2.1|26.4| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/test_other|2939|52343|95.5|4.0|0.5|0.6|5.1|44.1| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|288456|99.4|0.3|0.3|0.2|0.8|30.7| |decode_asr_asr_model_valid.acc.ave/dev_other|2864|265951|97.8|1.3|0.9|0.7|2.9|50.7| |decode_asr_asr_model_valid.acc.ave/test_clean|2620|281530|99.3|0.3|0.3|0.3|0.9|31.1| |decode_asr_asr_model_valid.acc.ave/test_other|2939|272758|98.0|1.2|0.8|0.7|2.8|52.1| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/dev_clean|2703|288456|99.5|0.3|0.2|0.2|0.7|25.5| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/dev_other|2864|265951|98.3|1.0|0.8|0.5|2.3|41.6| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/test_clean|2620|281530|99.5|0.3|0.3|0.2|0.7|26.4| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/test_other|2939|272758|98.4|0.9|0.8|0.5|2.2|44.1| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|68010|97.3|2.0|0.8|0.4|3.1|30.7| |decode_asr_asr_model_valid.acc.ave/dev_other|2864|63110|92.9|5.3|1.8|1.0|8.2|50.7| |decode_asr_asr_model_valid.acc.ave/test_clean|2620|65818|97.1|2.0|0.9|0.3|3.2|31.1| |decode_asr_asr_model_valid.acc.ave/test_other|2939|65101|93.0|5.0|2.0|0.9|7.9|52.1| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/dev_clean|2703|68010|97.7|1.6|0.7|0.3|2.6|25.5| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/dev_other|2864|63110|94.3|3.9|1.7|0.7|6.4|41.6| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/test_clean|2620|65818|97.5|1.6|0.8|0.3|2.7|26.4| |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_asr_model_valid.acc.ave/test_other|2939|65101|94.3|3.8|1.9|0.6|6.3|44.1|</code></pre> <strong>ASR config</strong><pre><code>config: conf/tuning/train_asr_conformer5.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_conformer5_raw_bpe5000_frontend_confn_fft400_frontend_confhop_length160_scheduler_confwarmup_steps25000_batch_bins140000000_optim_conflr0.0015_initnone_sp ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: file:///home/kamo/work/espnet/egs2/librispeech/asr1/exp/asr_train_asr_conformer5_raw_bpe5000_frontend_confn_fft400_frontend_confhop_length160_scheduler_confwarmup_steps25000_batch_bins140000000_optim_conflr0.0015_initnone_sp/.dist_init_7d8b8acf-d69d-4b0b-b84e-f76d64d0c2e6 dist_world_size: 16 dist_rank: 0 local_rank: 0 dist_master_addr: null dist_master_port: null dist_launcher: slurm multiprocessing_distributed: true cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 35 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 grad_clip: 5.0 grad_clip_type: 2.0 grad_noise: false accum_grad: 1 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null unused_parameters: false use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null pretrain_path: null init_param: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 140000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_bpe5000_n_fft400_hop160_sp/train/speech_shape - exp/asr_stats_raw_bpe5000_n_fft400_hop160_sp/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_bpe5000_n_fft400_hop160_sp/valid/speech_shape - exp/asr_stats_raw_bpe5000_n_fft400_hop160_sp/valid/text_shape.bpe batch_type: numel valid_batch_type: null fold_length: - 80000 - 150 sort_in_batch: descending sort_batch: descending multiple_iterator: false chunk_length: 500 chunk_shift_ratio: 0.5 num_cache_chunks: 1024 train_data_path_and_name_and_type: - - dump/raw/train_960_sp/wav.scp - speech - kaldi_ark - - dump/raw/train_960_sp/text - text - text valid_data_path_and_name_and_type: - - dump/raw/dev/wav.scp - speech - kaldi_ark - - dump/raw/dev/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adam optim_conf: lr: 0.0015 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - ▁THE - S - ▁AND - ▁OF - ▁TO - ▁A - ▁IN - ▁I - ▁HE - ▁THAT - ▁WAS - ED - ▁IT - '''' - ▁HIS - ING - ▁YOU - ▁WITH - ▁FOR - ▁HAD - T - ▁AS - ▁HER - ▁IS - ▁BE - ▁BUT - ▁NOT - ▁SHE - D - ▁AT - ▁ON - LY - ▁HIM - ▁THEY - ▁ALL - ▁HAVE - ▁BY - ▁SO - ▁THIS - ▁MY - ▁WHICH - ▁ME - ▁SAID - ▁FROM - ▁ONE - Y - E - ▁WERE - ▁WE - ▁NO - N - ▁THERE - ▁OR - ER - ▁AN - ▁WHEN - ▁ARE - ▁THEIR - ▁WOULD - ▁IF - ▁WHAT - ▁THEM - ▁WHO - ▁OUT - M - ▁DO - ▁WILL - ▁UP - ▁BEEN - P - R - ▁MAN - ▁THEN - ▁COULD - ▁MORE - C - ▁INTO - ▁NOW - ▁VERY - ▁YOUR - ▁SOME - ▁LITTLE - ES - ▁TIME - RE - ▁CAN - ▁LIKE - LL - ▁ABOUT - ▁HAS - ▁THAN - ▁DID - ▁UPON - ▁OVER - IN - ▁ANY - ▁WELL - ▁ONLY - B - ▁SEE - ▁GOOD - ▁OTHER - ▁TWO - L - ▁KNOW - ▁GO - ▁DOWN - ▁BEFORE - A - AL - ▁OUR - ▁OLD - ▁SHOULD - ▁MADE - ▁AFTER - ▁GREAT - ▁DAY - ▁MUST - ▁COME - ▁HOW - ▁SUCH - ▁CAME - LE - ▁WHERE - ▁US - ▁NEVER - ▁THESE - ▁MUCH - ▁DE - ▁MISTER - ▁WAY - G - ▁S - ▁MAY - ATION - ▁LONG - OR - ▁AM - ▁FIRST - ▁BACK - ▁OWN - ▁RE - ▁AGAIN - ▁SAY - ▁MEN - ▁WENT - ▁HIMSELF - ▁HERE - NESS - ▁THINK - V - IC - ▁EVEN - ▁THOUGHT - ▁HAND - ▁JUST - ▁O - ▁UN - VE - ION - ▁ITS - 'ON' - ▁MAKE - ▁MIGHT - ▁TOO - K - ▁AWAY - ▁LIFE - TH - ▁WITHOUT - ST - ▁THROUGH - ▁MOST - ▁TAKE - ▁DON - ▁EVERY - F - O - ▁SHALL - ▁THOSE - ▁EYES - AR - ▁STILL - ▁LAST - ▁HOUSE - ▁HEAD - ABLE - ▁NOTHING - ▁NIGHT - ITY - ▁LET - ▁MANY - ▁OFF - ▁BEING - ▁FOUND - ▁WHILE - EN - ▁SAW - ▁GET - ▁PEOPLE - ▁FACE - ▁YOUNG - CH - ▁UNDER - ▁ONCE - ▁TELL - AN - ▁THREE - ▁PLACE - ▁ROOM - ▁YET - ▁SAME - IL - US - U - ▁FATHER - ▁RIGHT - EL - ▁THOUGH - ▁ANOTHER - LI - RI - ▁HEART - IT - ▁PUT - ▁TOOK - ▁GIVE - ▁EVER - ▁E - ▁PART - ▁WORK - ERS - ▁LOOK - ▁NEW - ▁KING - ▁MISSUS - ▁SIR - ▁LOVE - ▁MIND - ▁LOOKED - W - RY - ▁ASKED - ▁LEFT - ET - ▁LIGHT - CK - ▁DOOR - ▁MOMENT - RO - ▁WORLD - ▁THINGS - ▁HOME - UL - ▁THING - LA - ▁WHY - ▁MOTHER - ▁ALWAYS - ▁FAR - FUL - ▁WATER - CE - IVE - UR - ▁HEARD - ▁SOMETHING - ▁SEEMED - I - LO - ▁BECAUSE - OL - ▁END - ▁TOLD - ▁CON - ▁YES - ▁GOING - ▁GOT - RA - IR - ▁WOMAN - ▁GOD - EST - TED - ▁FIND - ▁KNEW - ▁SOON - ▁EACH - ▁SIDE - H - TON - MENT - ▁OH - NE - Z - LING - ▁AGAINST - TER - ▁NAME - ▁MISS - ▁QUITE - ▁WANT - ▁YEARS - ▁FEW - ▁BETTER - ENT - ▁HALF - ▁DONE - ▁ALSO - ▁BEGAN - ▁HAVING - ▁ENOUGH - IS - ▁LADY - ▁WHOLE - LESS - ▁BOTH - ▁SEEN - ▁SET - ▁WHITE - ▁COURSE - IES - ▁VOICE - ▁CALLED - ▁D - ▁EX - ATE - ▁TURNED - ▁GAVE - ▁C - ▁POOR - MAN - UT - NA - ▁DEAR - ISH - ▁GIRL - ▁MORNING - ▁BETWEEN - LED - ▁NOR - IA - ▁AMONG - MA - ▁ - ▁SMALL - ▁REST - ▁WHOM - ▁FELT - ▁HANDS - ▁MYSELF - ▁HIGH - ▁M - ▁HOWEVER - ▁HERSELF - ▁P - CO - ▁STOOD - ID - ▁KIND - ▁HUNDRED - AS - ▁ROUND - ▁ALMOST - TY - ▁SINCE - ▁G - AM - ▁LA - SE - ▁BOY - ▁MA - ▁PERHAPS - ▁WORDS - ATED - ▁HO - X - ▁MO - ▁SAT - ▁REPLIED - ▁FOUR - ▁ANYTHING - ▁TILL - ▁UNTIL - ▁BLACK - TION - ▁CRIED - RU - TE - ▁FACT - ▁HELP - ▁NEXT - ▁LOOKING - ▁DOES - ▁FRIEND - ▁LAY - ANCE - ▁POWER - ▁BROUGHT - VER - ▁FIRE - ▁KEEP - PO - FF - ▁COUNTRY - ▁SEA - ▁WORD - ▁CAR - ▁DAYS - ▁TOGETHER - ▁IMP - ▁REASON - KE - ▁INDEED - TING - ▁MATTER - ▁FULL - ▁TEN - TIC - ▁LAND - ▁RATHER - ▁AIR - ▁HOPE - ▁DA - ▁OPEN - ▁FEET - ▁EN - ▁FIVE - ▁POINT - ▁CO - OM - ▁LARGE - ▁B - ▁CL - ME - ▁GONE - ▁CHILD - INE - GG - ▁BEST - ▁DIS - UM - ▁HARD - ▁LORD - OUS - ▁WIFE - ▁SURE - ▁FORM - DE - ▁DEATH - ANT - ▁NATURE - ▁BA - ▁CARE - ▁BELIEVE - PP - ▁NEAR - ▁RO - ▁RED - ▁WAR - IE - ▁SPEAK - ▁FEAR - ▁CASE - ▁TAKEN - ▁ALONG - ▁CANNOT - ▁HEAR - ▁THEMSELVES - CI - ▁PRESENT - AD - ▁MASTER - ▁SON - ▁THUS - ▁LI - ▁LESS - ▁SUN - ▁TRUE - IM - IOUS - ▁THOUSAND - ▁MONEY - ▁W - ▁BEHIND - ▁CHILDREN - ▁DOCTOR - AC - ▁TWENTY - ▁WISH - ▁SOUND - ▁WHOSE - ▁LEAVE - ▁ANSWERED - ▁THOU - ▁DUR - ▁HA - ▁CERTAIN - ▁PO - ▁PASSED - GE - TO - ▁ARM - ▁LO - ▁STATE - ▁ALONE - TA - ▁SHOW - ▁NEED - ▁LIVE - ND - ▁DEAD - ENCE - ▁STRONG - ▁PRE - ▁TI - ▁GROUND - SH - TI - ▁SHORT - IAN - UN - ▁PRO - ▁HORSE - MI - ▁PRINCE - ARD - ▁FELL - ▁ORDER - ▁CALL - AT - ▁GIVEN - ▁DARK - ▁THEREFORE - ▁CLOSE - ▁BODY - ▁OTHERS - ▁SENT - ▁SECOND - ▁OFTEN - ▁CA - ▁MANNER - MO - NI - ▁BRING - ▁QUESTION - ▁HOUR - ▁BO - AGE - ▁ST - ▁TURN - ▁TABLE - ▁GENERAL - ▁EARTH - ▁BED - ▁REALLY - ▁SIX - 'NO' - IST - ▁BECOME - ▁USE - ▁READ - ▁SE - ▁VI - ▁COMING - ▁EVERYTHING - ▁EM - ▁ABOVE - ▁EVENING - ▁BEAUTIFUL - ▁FEEL - ▁RAN - ▁LEAST - ▁LAW - ▁ALREADY - ▁MEAN - ▁ROSE - WARD - ▁ITSELF - ▁SOUL - ▁SUDDENLY - ▁AROUND - RED - ▁ANSWER - ICAL - ▁RA - ▁WIND - ▁FINE - ▁WON - ▁WHETHER - ▁KNOWN - BER - NG - ▁TA - ▁CAPTAIN - ▁EYE - ▁PERSON - ▁WOMEN - ▁SORT - ▁ASK - ▁BROTHER - ▁USED - ▁HELD - ▁BIG - ▁RETURNED - ▁STRANGE - ▁BU - ▁PER - ▁FREE - ▁EITHER - ▁WITHIN - ▁DOUBT - ▁YEAR - ▁CLEAR - ▁SIGHT - ▁GRA - ▁LOST - ▁KEPT - ▁F - PE - ▁BAR - ▁TOWN - ▁SLEEP - ARY - ▁HAIR - ▁FRIENDS - ▁DREAM - ▁FELLOW - PER - ▁DEEP - QUE - ▁BECAME - ▁REAL - ▁PAST - ▁MAKING - RING - ▁COMP - ▁ACT - ▁BAD - HO - STER - ▁YE - ▁MEANS - ▁RUN - MEN - ▁DAUGHTER - ▁SENSE - ▁CITY - ▁SOMETIMES - ▁TOWARDS - ▁ROAD - ▁SP - ▁LU - ▁READY - ▁FOOT - ▁COLD - ▁SA - ▁LETTER - ▁ELSE - ▁MAR - ▁STA - BE - ▁TRUTH - ▁LE - BO - ▁BUSINESS - CHE - ▁JOHN - ▁SUBJECT - ▁COURT - ▁IDEA - ILY - ▁RIVER - ATING - ▁FAMILY - HE - ▁DIDN - ▁GLAD - ▁SEVERAL - IAL - ▁UNDERSTAND - ▁SC - ▁POSSIBLE - ▁DIFFERENT - ▁RETURN - ▁ARMS - ▁LOW - ▁HOLD - ▁TALK - ▁RU - ▁WINDOW - ▁INTEREST - ▁SISTER - SON - ▁SH - ▁BLOOD - ▁SAYS - ▁CAP - ▁DI - ▁HUMAN - ▁CAUSE - NCE - ▁THANK - ▁LATE - GO - ▁CUT - ▁ACROSS - ▁STORY - NT - ▁COUNT - ▁ABLE - DY - LEY - ▁NUMBER - ▁STAND - ▁CHURCH - ▁THY - ▁SUPPOSE - LES - BLE - OP - ▁EFFECT - BY - ▁K - ▁NA - ▁SPOKE - ▁MET - ▁GREEN - ▁HUSBAND - ▁RESPECT - ▁PA - ▁FOLLOWED - ▁REMEMBER - ▁LONGER - ▁AGE - ▁TAKING - ▁LINE - ▁SEEM - ▁HAPPY - LAND - EM - ▁STAY - ▁PLAY - ▁COMMON - ▁GA - ▁BOOK - ▁TIMES - ▁OBJECT - ▁SEVEN - QUI - DO - UND - ▁FL - ▁PRETTY - ▁FAIR - WAY - ▁WOOD - ▁REACHED - ▁APPEARED - ▁SWEET - ▁FALL - BA - ▁PASS - ▁SIGN - ▁TREE - IONS - ▁GARDEN - ▁ILL - ▁ART - ▁REMAIN - ▁OPENED - ▁BRIGHT - ▁STREET - ▁TROUBLE - ▁PAIN - ▁CONTINUED - ▁SCHOOL - OUR - ▁CARRIED - ▁SAYING - HA - ▁CHANGE - ▁FOLLOW - ▁GOLD - ▁SW - ▁FEELING - ▁COMMAND - ▁BEAR - ▁CERTAINLY - ▁BLUE - ▁NE - CA - ▁WILD - ▁ACCOUNT - ▁OUGHT - UD - ▁T - ▁BREATH - ▁WANTED - ▁RI - ▁HEAVEN - ▁PURPOSE - ▁CHARACTER - ▁RICH - ▁PE - ▁DRESS - OS - FA - ▁TH - ▁ENGLISH - ▁CHANCE - ▁SHIP - ▁VIEW - ▁TOWARD - AK - ▁JOY - ▁JA - ▁HAR - ▁NEITHER - ▁FORCE - ▁UNCLE - DER - ▁PLAN - ▁PRINCESS - DI - ▁CHIEF - ▁HAT - ▁LIVED - ▁AB - ▁VISIT - ▁MOR - TEN - ▁WALL - UC - ▁MINE - ▁PLEASURE - ▁SMILE - ▁FRONT - ▁HU - ▁DEAL - OW - ▁FURTHER - GED - ▁TRIED - DA - VA - ▁NONE - ▁ENTERED - ▁QUEEN - ▁PAY - ▁EL - ▁EXCEPT - ▁SHA - ▁FORWARD - ▁EIGHT - ▁ADDED - ▁PUBLIC - ▁EIGHTEEN - ▁STAR - ▁HAPPENED - ▁LED - ▁WALKED - ▁ALTHOUGH - ▁LATER - ▁SPIRIT - ▁WALK - ▁BIT - ▁MEET - LIN - ▁FI - LT - ▁MOUTH - ▁WAIT - ▁HOURS - ▁LIVING - ▁YOURSELF - ▁FAST - ▁CHA - ▁HALL - ▁BEYOND - ▁BOAT - ▁SECRET - ENS - ▁CHAIR - RN - ▁RECEIVED - ▁CAT - RESS - ▁DESIRE - ▁GENTLEMAN - UGH - ▁LAID - EVER - ▁OCCASION - ▁WONDER - ▁GU - ▁PARTY - DEN - ▁FISH - ▁SEND - ▁NEARLY - ▁TRY - CON - ▁SEEMS - RS - ▁BELL - ▁BRA - ▁SILENCE - IG - ▁GUARD - ▁DIE - ▁DOING - ▁TU - ▁COR - ▁EARLY - ▁BANK - ▁FIGURE - IF - ▁ENGLAND - ▁MARY - ▁AFRAID - LER - ▁FO - ▁WATCH - ▁FA - ▁VA - ▁GRE - ▁AUNT - PED - ▁SERVICE - ▁JE - ▁PEN - ▁MINUTES - ▁PAN - ▁TREES - NED - ▁GLASS - ▁TONE - ▁PLEASE - ▁FORTH - ▁CROSS - ▁EXCLAIMED - ▁DREW - ▁EAT - ▁AH - ▁GRAVE - ▁CUR - PA - URE - CENT - ▁MILES - ▁SOFT - ▁AGO - ▁POSITION - ▁WARM - ▁LENGTH - ▁NECESSARY - ▁THINKING - ▁PICTURE - ▁PI - SHIP - IBLE - ▁HEAVY - ▁ATTENTION - ▁DOG - ABLY - ▁STANDING - ▁NATURAL - ▁APPEAR - OV - ▁CAUGHT - VO - ISM - ▁SPRING - ▁EXPERIENCE - ▁PAT - OT - ▁STOPPED - ▁REGARD - ▁HARDLY - ▁SELF - ▁STRENGTH - ▁GREW - ▁KNIGHT - ▁OPINION - ▁WIDE - ▁INSTEAD - ▁SOUTH - ▁TRANS - ▁CORNER - ▁LEARN - ▁ISLAND - ▁MI - ▁THIRD - ▁STE - ▁STRAIGHT - ▁TEA - ▁BOUND - ▁SEEING - ▁JU - ▁DINNER - ▁BEAUTY - ▁PEACE - AH - ▁REP - ▁SILENT - ▁CRE - ALLY - RIC - ▁STEP - ▁VER - ▁JO - GER - ▁SITTING - ▁THIRTY - ▁SAVE - ENED - ▁GLANCE - ▁REACH - ▁ACTION - ▁SAL - ▁SAD - ▁STONE - ITIES - ▁FRENCH - ▁STRUCK - ▁PAPER - ▁WHATEVER - ▁SUB - ▁DISTANCE - ▁WRONG - ▁KNOWLEDGE - ▁SAFE - ▁SNOW - ▁MUSIC - ▁FIFTY - RON - ▁ATTEMPT - ▁GOVERNMENT - TU - ▁CROWD - ▁BESIDES - ▁LOVED - ▁BOX - ▁DIRECTION - ▁TRAIN - ▁NORTH - ▁THICK - ▁GETTING - AV - ▁FLOOR - ▁COMPANY - ▁BLOW - ▁PLAIN - TRO - ▁BESIDE - ▁ROCK - ▁IMMEDIATELY - FI - ▁SHADOW - ▁SIT - ORS - ILE - ▁DRINK - ▁SPOT - ▁DANGER - ▁AL - ▁SAINT - ▁SLOWLY - ▁PALACE - IER - ▁RESULT - ▁PETER - ▁FOREST - ▁BELONG - ▁SU - ▁PAR - RIS - ▁TEARS - ▁APPEARANCE - ▁GATE - BU - ITION - ▁QUICKLY - ▁QUIET - ▁LONDON - ▁START - ▁BROWN - TRA - KIN - ▁CONSIDER - ▁BATTLE - ▁ANNE - ▁PIECE - ▁DIED - ▁SUCCESS - ▁LIPS - ▁FILLED - ▁FORGET - ▁POST - IFIED - ▁MARGARET - ▁FOOD - HAM - ▁PLEASANT - ▁FE - ▁EXPRESSION - ▁POCKET - ▁FRESH - ▁WEAR - TRI - ▁BROKEN - ▁LAUGHED - GING - ▁FOLLOWING - WN - IP - ▁TOUCH - ▁YOUTH - ATIVE - ▁LEG - ▁WEEK - ▁REMAINED - ▁EASY - NER - RK - ▁ENTER - ▁FIGHT - ▁PLACED - ▁TRAVEL - ▁SIMPLE - ▁GIRLS - ▁WAITING - ▁STOP - ▁WAVE - AU - ▁WISE - ▁CAMP - TURE - UB - ▁VE - ▁OFFICE - ▁GRAND - ▁FIT - ▁JUDGE - UP - MENTS - ▁QUICK - HI - ▁FLO - RIES - VAL - ▁COMFORT - ▁PARTICULAR - ▁STARTED - ▁SUIT - ▁NI - ▁PALE - ▁IMPOSSIBLE - ▁HOT - ▁CONVERSATION - ▁SCENE - ▁BOYS - ▁WIN - ▁BRE - ▁SOCIETY - ▁OUTSIDE - ▁WRITE - ▁EFFORT - ▁TALKING - ▁FORTUNE - ▁NINE - ▁WA - ▁SINGLE - ▁RULE - ▁PORT - ▁WINTER - ▁CAST - ▁CRA - ▁HAPPEN - ▁CRO - ▁SHUT - NING - ▁GUN - ▁NOBLE - ▁BEGIN - ▁PATH - ▁SKY - ▁WONDERFUL - ▁SUDDEN - ▁ARMY - ▁CHE - ▁WORTH - ▁MOUNTAIN - ▁MIN - AG - ▁FLU - ▁GRACE - ▁CHAPTER - ▁BELOW - ▁RING - ▁TURNING - ▁IRON - ▁TOP - ▁AFTERNOON - ORY - ▁EVIL - ▁TRUST - ▁BOW - ▁TRI - ▁SAIL - ▁CONTENT - ▁HORSES - ITE - ▁SILVER - AP - ▁LAD - ▁RUNNING - ▁HILL - ▁BEGINNING - ▁MAD - ▁HABIT - GRA - ▁CLOTHES - ▁MORROW - ▁CRY - ▁FASHION - ▁PRESENCE - ▁Z - FE - ▁ARRIVED - ▁QUARTER - ▁PERFECT - ▁WO - ▁TRA - ▁USUAL - ▁NECK - ▁MARRIED - ▁SEAT - ▁WI - ▁GAR - ▁SAND - ▁SHORE - ▁GIVING - NY - ▁PROBABLY - ▁MINUTE - ▁EXPECT - ▁DU - ▁SHOT - ▁INSTANT - ▁DEGREE - ▁COLOR - ▁WEST - RT - ▁MARCH - ▁BIRD - ▁SHOWED - ▁GREATER - ▁SERIOUS - ▁CARRY - ▁COVERED - ▁FORMER - ▁LOUD - ▁MOVED - ▁MASS - ▁SEEK - ▁CHO - GEN - ▁ROMAN - IB - ▁MOON - ▁BOARD - ▁STREAM - ▁EASILY - ▁WISHED - ▁SEARCH - ▁COULDN - ▁MONTHS - ▁SICK - LIE - ▁DUTY - ▁TWELVE - ▁FAINT - ▁STRANGER - ▁SURPRISE - ▁KILL - ▁LEAVING - ▁JOURNEY - ▁SCARCELY - ▁RAISED - ▁SPEAKING - ▁TERRIBLE - ▁TOM - ▁FIELD - ▁GAME - ▁QUA - ▁PROMISE - ▁LIE - ▁CONDITION - ▁TRO - ▁PERSONAL - ▁TALL - ▁STICK - ▁THREW - ▁MARRY - ▁VAN - ▁BURN - ▁ACCORDING - ▁RISE - ▁ATTACK - ▁SWORD - ▁GUESS - ▁THOUGHTS - ▁THIN - ▁THROW - ▁CALM - SIDE - ▁VILLAGE - ▁DEN - ▁ANXIOUS - ▁MER - GI - ▁EXPECTED - ▁BALL - ▁ESPECIALLY - ▁CHARGE - ▁MEASURE - ISE - ▁NICE - ▁TRYING - ▁ALLOW - ▁SHARP - ▁BREAD - ▁HONOUR - ▁HONOR - ▁ENTIRELY - ▁BILL - ▁BRI - ▁WRITTEN - ▁AR - ▁BROKE - ▁KILLED - ▁MARK - ▁VEN - ▁LADIES - ▁LEARNED - ▁FLOWERS - PLE - ▁FORTY - ▁OFFER - ▁HAPPINESS - ▁PRAY - ▁CLASS - ▁FER - ▁PRINCIPLE - GU - ▁BOOKS - ▁SHAPE - ▁SUMMER - ▁JACK - ▁DRAW - ▁GOLDEN - ▁DECIDED - ▁LEAD - ▁UNLESS - ▁HARM - ▁LISTEN - HER - ▁SHOOK - ▁INFLUENCE - ▁PERFECTLY - ▁MARRIAGE - ▁BROAD - ▁ESCAPE - ▁STATES - ▁MIDDLE - ▁PLANT - ▁MIL - ▁MOVEMENT - ▁NOISE - ▁ENEMY - ▁HISTORY - ▁BREAK - ROUS - ▁UNDERSTOOD - ▁LATTER - FER - ▁COMES - ▁MERELY - ▁SIMPLY - WI - ▁IMAGINE - ▁LOWER - ▁CONDUCT - ▁BORN - WA - ▁YARD - ▁KA - ▁CLOSED - ▁NOTE - GA - ▁STRA - RAN - ▁EXIST - EV - ▁SPEECH - ▁BITTER - JO - ▁MAKES - ▁GRASS - ▁REPLY - ▁CHANGED - ▁MON - ▁LYING - ▁DANCE - ▁FINALLY - ▁AMERICAN - ▁ENJOY - ▁CONTAIN - ▁MEANT - USE - ▁OBSERVED - THER - ▁LAUGH - ▁AFTERWARDS - ▁BEAT - ▁RACE - ▁EQUAL - ▁RAIN - PS - ▁STEPS - ▁BENEATH - ▁TAIL - ▁TASTE - IO - EY - ▁CHAR - ▁GE - GN - TIN - ▁GROW - ▁TE - IANS - ▁MOVE - ▁REPEATED - ▁DRIVE - TUR - ▁SI - CLOCK - ▁BRAVE - ▁MADAME - ▁LOT - ▁CASTLE - ▁HI - AND - ▁FUTURE - ▁RELATION - ▁SORRY - ▁HEALTH - ▁DICK - ▁R - ▁BUILDING - ▁EDGE - ▁BLESS - ▁SPITE - WE - ▁MIS - ▁PRISONER - ▁ALLOWED - ▁PH - ▁CATCH - MER - ETH - ▁COAT - ▁COMPLETE - ▁WOULDN - ▁CREATURE - ▁YELLOW - ▁IMPORTANT - ▁ADD - ▁PASSING - ▁DARKNESS - ▁CARRIAGE - ▁MILL - ▁FIFTEEN - NCY - ▁HUNG - ▁OB - ▁PLEASED - ▁SPREAD - ▁CURIOUS - ▁WORSE - ▁CIRCUMSTANCES - ▁GI - LAR - ▁CAL - ▁HY - ▁MERE - ▁JANE - ▁EAST - BI - ▁CUP - ▁BLIND - ▁PASSION - ▁DISCO</code></pre>