ESPnet2 ASR model

espnet/marathi_lrec2020

This model was trained by Aniket Tathe using marathi_lrec2020 recipe in espnet.

Demo: How to use in ESPnet2

Follow the ESPnet installation instructions if you haven't done that already.

cd espnet
git checkout 6241a3e3ad9fef6a686ac82c6a7799d40d96cd27
pip install -e .
cd egs2/marathi_lrec2020/asr1
./run.sh --skip_data_prep false --skip_train true --download_model espnet/marathi_lrec2020

RESULTS

Environment

• Date: Sat Oct 25 08:19:46 UTC 2025
• Python version: 3.9.23
• ESPnet version: 202509
• PyTorch version: 2.3.0+cu121
• CUDA version: 12.1
• ESPnet Git hash (upstream): 53e09761cb164b28f299e178262bf2056d8059d7
  • Commit date: Fri Oct 24 11:26:46 2025 +0900

Marathi ASR — marathi_lrec2020

Recipe for Marathi ASR on the IndicCorpora Marathi subset.

Training uses conf/train_asr_transformer.yaml (character Conformer: 3 blocks, 256-dim encoder, batch_bins: 16000000, accum_grad: 4, Adam lr: 0.0005, warmup 20k, SpecAugment, hybrid CTC/attention ctc_weight: 0.3).

Decoding without LM: conf/decode_asr.yaml (lm_weight: 0.0). Decoding with LM (match reported fusion): conf/decode_asr_lm.yaml (beam 20, ctc_weight: 0.5, lm_weight: 0.3).

Test-set decoding (marathi_test)

Beam 20, CTC weight 0.5 unless noted.

Beam 20, CTC 0.5 (no LM)

Beam 20, CTC 0.5, LM weight 0.3

Dataset reference

P. Jyothi et al., “IndicCorpora: A Large Multilingual Corpus for Indic Languages.” IIT Bombay IndicCorpora — Marathi

ASR config

config: conf/tuning/train_asr_transformer.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: sequence
valid_iterator_type: null
output_dir: exp/asr_marathi_conf_old_try_3conf_16Mbin_4grad
ngpu: 1
seed: 777
num_workers: 8
num_att_plot: 3
dist_backend: nccl
dist_init_method: env://
dist_world_size: null
dist_rank: null
local_rank: 0
dist_master_addr: null
dist_master_port: null
dist_launcher: null
multiprocessing_distributed: false
unused_parameters: false
sharded_ddp: false
use_deepspeed: false
deepspeed_config: null
gradient_as_bucket_view: true
ddp_comm_hook: null
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: true
use_tf32: false
collect_stats: false
write_collected_feats: false
max_epoch: 60
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - loss
    - min
keep_nbest_models: 10
nbest_averaging_interval: 0
grad_clip: 5.0
grad_clip_type: 2.0
grad_noise: false
accum_grad: 4
no_forward_run: false
resume: false
train_dtype: float32
use_amp: false
log_interval: null
use_matplotlib: true
use_tensorboard: true
create_graph_in_tensorboard: false
use_wandb: false
wandb_project: null
wandb_id: null
wandb_entity: null
wandb_name: null
wandb_model_log_interval: -1
detect_anomaly: false
use_adapter: false
adapter: lora
save_strategy: all
adapter_conf: {}
pretrain_path: null
init_param: []
ignore_init_mismatch: false
freeze_param: []
num_iters_per_epoch: null
batch_size: 20
valid_batch_size: null
batch_bins: 16000000
valid_batch_bins: null
category_sample_size: 10
upsampling_factor: 0.5
category_upsampling_factor: 0.5
dataset_upsampling_factor: 0.5
dataset_scaling_factor: 1.2
max_batch_size: null
min_batch_size: 1
train_shape_file:
- exp/asr_stats_raw_char/train/speech_shape
- exp/asr_stats_raw_char/train/text_shape.char
valid_shape_file:
- exp/asr_stats_raw_char/valid/speech_shape
- exp/asr_stats_raw_char/valid/text_shape.char
batch_type: numel
valid_batch_type: null
fold_length:
- 80000
- 150
sort_in_batch: descending
shuffle_within_batch: false
sort_batch: descending
multiple_iterator: false
chunk_length: 500
chunk_shift_ratio: 0.5
num_cache_chunks: 1024
chunk_excluded_key_prefixes: []
chunk_default_fs: null
chunk_max_abs_length: null
chunk_discard_short_samples: true
train_data_path_and_name_and_type:
-   - dump/raw/marathi_train_sp/wav.scp
    - speech
    - sound
-   - dump/raw/marathi_train_sp/text
    - text
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/marathi_dev/wav.scp
    - speech
    - sound
-   - dump/raw/marathi_dev/text
    - text
    - text
multi_task_dataset: false
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
allow_multi_rates: false
valid_max_cache_size: null
exclude_weight_decay: false
exclude_weight_decay_conf: {}
optim: adam
optim_conf:
    lr: 0.0005
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 20000
token_list:
-
-
-
- ा
- े
- र
- ्
- क
- स
- ल
- म
- ि
- ं
- ी
- य
- त
- न
- व
- ग
- ह
- ट
- च
- प
- ड
- आ
- .
- ज
- श
- ो
- द
- ब
- अ
- ू
- ु
- '?'
- ण
- इ
- ध
- ए
- फ
- ख
- ॉ
- ॅ
- ळ
- ँ
- भ
- थ
- ठ
- ई
- झ
- ष
- उ
- ऑ
- ऊ
- घ
- ढ
- ै
- ओ
- '2'
- (
- )
- '0'
- ृ
- ौ
- '-'
- '3'
- '1'
- ऐ
- ‍
- '5'
- '8'
- छ
- '4'
- '"'
- ','
- '9'
- औ
- '!'
- ़
- ञ
- '7'
- '6'
- ९
- ऋ
- e
- g
- ३
- X
- १
- ०
-
init: xavier_uniform
input_size: null
ctc_conf:
    dropout_rate: 0.0
    ctc_type: builtin
    reduce: true
    ignore_nan_grad: null
    zero_infinity: true
    brctc_risk_strategy: exp
    brctc_group_strategy: end
    brctc_risk_factor: 0.0
joint_net_conf: null
use_preprocessor: true
use_lang_prompt: false
use_nlp_prompt: false
token_