From 2196844d1d6e5b8732c95896bb46f0eacdd9cf9d Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 25 九月 2024 15:10:50 +0800
Subject: [PATCH] Dev kws (#2105)
---
funasr/datasets/audio_datasets/datasets.py | 33 +++++++++++++++++++++------------
1 files changed, 21 insertions(+), 12 deletions(-)
diff --git a/funasr/datasets/audio_datasets/datasets.py b/funasr/datasets/audio_datasets/datasets.py
index 2aafde3..68b2d3c 100644
--- a/funasr/datasets/audio_datasets/datasets.py
+++ b/funasr/datasets/audio_datasets/datasets.py
@@ -1,6 +1,7 @@
import torch
import random
+
from funasr.register import tables
from funasr.utils.load_utils import extract_fbank, load_audio_text_image_video
@@ -17,6 +18,7 @@
index_ds: str = None,
frontend=None,
tokenizer=None,
+ is_training: bool = True,
int_pad_value: int = -1,
float_pad_value: float = 0.0,
**kwargs,
@@ -24,18 +26,23 @@
super().__init__()
index_ds_class = tables.index_ds_classes.get(index_ds)
self.index_ds = index_ds_class(path, **kwargs)
- preprocessor_speech = kwargs.get("preprocessor_speech", None)
- if preprocessor_speech:
- preprocessor_speech_class = tables.preprocessor_classes.get(preprocessor_speech)
- preprocessor_speech = preprocessor_speech_class(
- **kwargs.get("preprocessor_speech_conf")
- )
- self.preprocessor_speech = preprocessor_speech
- preprocessor_text = kwargs.get("preprocessor_text", None)
- if preprocessor_text:
- preprocessor_text_class = tables.preprocessor_classes.get(preprocessor_text)
- preprocessor_text = preprocessor_text_class(**kwargs.get("preprocessor_text_conf"))
- self.preprocessor_text = preprocessor_text
+
+ self.preprocessor_speech = None
+ self.preprocessor_text = None
+
+ if is_training:
+ preprocessor_speech = kwargs.get("preprocessor_speech", None)
+ if preprocessor_speech:
+ preprocessor_speech_class = tables.preprocessor_classes.get(preprocessor_speech)
+ preprocessor_speech = preprocessor_speech_class(
+ **kwargs.get("preprocessor_speech_conf")
+ )
+ self.preprocessor_speech = preprocessor_speech
+ preprocessor_text = kwargs.get("preprocessor_text", None)
+ if preprocessor_text:
+ preprocessor_text_class = tables.preprocessor_classes.get(preprocessor_text)
+ preprocessor_text = preprocessor_text_class(**kwargs.get("preprocessor_text_conf"))
+ self.preprocessor_text = preprocessor_text
self.frontend = frontend
self.fs = 16000 if frontend is None else frontend.fs
@@ -64,6 +71,7 @@
data_src = load_audio_text_image_video(source, fs=self.fs)
if self.preprocessor_speech:
data_src = self.preprocessor_speech(data_src, fs=self.fs)
+
speech, speech_lengths = extract_fbank(
data_src, data_type=self.data_type, frontend=self.frontend, is_final=True
) # speech: [b, T, d]
@@ -71,6 +79,7 @@
target = item["target"]
if self.preprocessor_text:
target = self.preprocessor_text(target)
+
if self.tokenizer:
ids = self.tokenizer.encode(target)
text = torch.tensor(ids, dtype=torch.int64)
--
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