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Code Issues Releases Wiki Activity

1. added option to strip silent chunks

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2. computing caller quality based on task-id of corrections
This commit is contained in:
Malar Kannan
2020-06-17 21:42:20 +05:30
parent ac0e04c226
commit 000853b600
2 changed files with 21 additions and 2 deletions
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7
jasper/data/validation/process.py
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@@ -194,6 +194,7 @@ def dump_corrections(
@app.command()
def caller_quality(
task_uid: str,
data_name: str = typer.Option("call_upwork_train_cnd", show_default=True),
dump_dir: Path = Path("./data/asr_data"),
dump_fname: Path = Path("ui_dump.json"),
@@ -214,7 +215,11 @@ def caller_quality(
dp["valid"] = c["value"]["status"] == "Correct"
return dp
corrected_dump = [correction_dp(c) for c in correction_data]
corrected_dump = [
correction_dp(c)
for c in correction_data
if c["task_id"].rsplit("-", 1)[1] == task_uid
]
df = pd.DataFrame(corrected_dump)
print(f"Total samples: {len(df)}")
for (c, g) in df.groupby("caller"):