| | |
|---|
| | | asr_result_list = [] |
|---|
| | | num_samples = len(data_list) |
|---|
| | | disable_pbar = kwargs.get("disable_pbar", False) |
|---|
| | | pbar = tqdm(colour="blue", total=num_samples+1, dynamic_ncols=True) if not disable_pbar else None |
|---|
| | | pbar = tqdm(colour="blue", total=num_samples, dynamic_ncols=True) if not disable_pbar else None |
|---|
| | | time_speech_total = 0.0 |
|---|
| | | time_escape_total = 0.0 |
|---|
| | | for beg_idx in range(0, num_samples, batch_size): |
|---|
| | |
|---|
| | | batch_size_ms_cum = 0 |
|---|
| | | beg_idx = 0 |
|---|
| | | beg_asr_total = time.time() |
|---|
| | | time_speech_total_per_sample = speech_lengths/16000 |
|---|
| | | time_speech_total_per_sample = speech_lengths/16000 + 1e-6 |
|---|
| | | time_speech_total_all_samples += time_speech_total_per_sample |
|---|
| | | |
|---|
| | | pbar_sample = tqdm(colour="blue", total=n + 1, dynamic_ncols=True) |
|---|
| | |
|---|
| | | |
|---|
| | | end_asr_total = time.time() |
|---|
| | | time_escape_total_per_sample = end_asr_total - beg_asr_total |
|---|
| | | pbar_sample.update(1) |
|---|
| | | pbar_sample.set_description(f"rtf_avg_per_sample: {time_escape_total_per_sample / time_speech_total_per_sample:0.3f}, " |
|---|
| | | f"time_speech_total_per_sample: {time_speech_total_per_sample: 0.3f}, " |
|---|
| | | f"time_escape_total_per_sample: {time_escape_total_per_sample:0.3f}") |
|---|
