Initial commit: FunASR Speech Recognition Toolkit
Update API Documentation / build-api-docs (push) Has been cancelled

Add complete FunASR codebase including models, runtime, and documentation.
This commit is contained in:
freedakgmail
2026-07-09 22:38:58 +08:00
commit 6116b1f3c6
3683 changed files with 990984 additions and 0 deletions
@@ -0,0 +1,94 @@
# network architecture
model: SanmKWS
model_conf:
ctc_weight: 1.0
# encoder
encoder: SANMEncoder
encoder_conf:
output_size: 256 # dimension of attention
attention_heads: 4
linear_units: 320 # the number of units of position-wise feed forward
num_blocks: 6 # the number of encoder blocks
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.1
input_layer: pe
pos_enc_class: SinusoidalPositionEncoder
normalize_before: true
kernel_size: 11
sanm_shfit: 0
selfattention_layer_type: sanm
# frontend related
frontend: WavFrontend
frontend_conf:
fs: 16000
window: hamming
n_mels: 40
frame_length: 25
frame_shift: 10
lfr_m: 7
lfr_n: 6
specaug: SpecAugLFR
specaug_conf:
apply_time_warp: false
time_warp_window: 5
time_warp_mode: bicubic
apply_freq_mask: true
freq_mask_width_range:
- 0
- 30
lfr_rate: 6
num_freq_mask: 1
apply_time_mask: true
time_mask_width_range:
- 0
- 12
num_time_mask: 1
train_conf:
accum_grad: 1
grad_clip: 5
max_epoch: 100
keep_nbest_models: 20
avg_nbest_model: 10
avg_keep_nbest_models_type: loss
validate_interval: 50000
save_checkpoint_interval: 50000
avg_checkpoint_interval: 1000
log_interval: 50
optim: adam
optim_conf:
lr: 0.001
scheduler: warmuplr
scheduler_conf:
warmup_steps: 10000
dataset: AudioDataset
dataset_conf:
index_ds: IndexDSJsonl
batch_sampler: EspnetStyleBatchSampler
batch_type: length # example or length
batch_size: 96000 # if batch_type is example, batch_size is the numbers of samples; if length, batch_size is source_token_len+target_token_len;
max_token_length: 1600 # filter samples if source_token_len+target_token_len > max_token_length,
buffer_size: 2048
shuffle: true
num_workers: 8
preprocessor_speech: SpeechPreprocessSpeedPerturb
preprocessor_speech_conf:
speed_perturb: [0.9, 1.0, 1.1]
tokenizer: CharTokenizer
tokenizer_conf:
unk_symbol: <unk>
ctc_conf:
dropout_rate: 0.0
ctc_type: builtin # ctc_type: focalctc, builtin
reduce: true
ignore_nan_grad: true
normalize: null