From 4f5b9354d0ec209ba81400550fa2aca41268ad51 Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期一, 06 二月 2023 17:08:01 +0800
Subject: [PATCH] Merge pull request #64 from alibaba-damo-academy/dev_lhn

---
 funasr/datasets/iterable_dataset.py |   12 +++++++++++-
 funasr/utils/asr_utils.py           |   10 +++++++---
 2 files changed, 18 insertions(+), 4 deletions(-)

diff --git a/funasr/datasets/iterable_dataset.py b/funasr/datasets/iterable_dataset.py
index 2ac37b2..fa0adeb 100644
--- a/funasr/datasets/iterable_dataset.py
+++ b/funasr/datasets/iterable_dataset.py
@@ -20,7 +20,7 @@
 from funasr.datasets.dataset import ESPnetDataset
 
 
-SUPPORT_AUDIO_TYPE_SETS = ['flac', 'mp3', 'm4a', 'ogg', 'opus', 'wav', 'wma']
+SUPPORT_AUDIO_TYPE_SETS = ['flac', 'mp3', 'ogg', 'opus', 'wav', 'pcm']
 
 def load_kaldi(input):
     retval = kaldiio.load_mat(input)
@@ -60,9 +60,14 @@
     array = np.frombuffer((middle_data.astype(dtype) - offset) / abs_max, dtype=np.float32)
     return array
 
+def load_pcm(input):
+    with open(input,"rb") as f:
+        bytes = f.read()
+    return load_bytes(bytes)
 
 DATA_TYPES = {
     "sound": lambda x: torchaudio.load(x)[0][0].numpy(),
+    "pcm": load_pcm,
     "kaldi_ark": load_kaldi,
     "bytes": load_bytes,
     "waveform": lambda x: x,
@@ -219,6 +224,9 @@
                 if audio_type not in SUPPORT_AUDIO_TYPE_SETS:
                     raise NotImplementedError(
                         f'Not supported audio type: {audio_type}')
+                if audio_type == "pcm":
+                    _type = "pcm"
+
             func = DATA_TYPES[_type]
             array = func(value)
             if self.fs is not None and name == "speech":
@@ -318,6 +326,8 @@
                         if audio_type not in SUPPORT_AUDIO_TYPE_SETS:
                             raise NotImplementedError(
                                 f'Not supported audio type: {audio_type}')
+                        if audio_type == "pcm":
+                            _type = "pcm"
                     func = DATA_TYPES[_type]
                     # Load entry
                     array = func(value)
diff --git a/funasr/utils/asr_utils.py b/funasr/utils/asr_utils.py
index aa5c9db..a6f5ddd 100644
--- a/funasr/utils/asr_utils.py
+++ b/funasr/utils/asr_utils.py
@@ -18,7 +18,7 @@
 
 global_asr_language = 'zh-cn'
 
-SUPPORT_AUDIO_TYPE_SETS = ['flac', 'mp3', 'm4a', 'ogg', 'opus', 'wav', 'wma']
+SUPPORT_AUDIO_TYPE_SETS = ['flac', 'mp3', 'ogg', 'opus', 'wav', 'pcm']
 
 def get_version():
     return float(pkg_resources.get_distribution('easyasr').version)
@@ -128,7 +128,12 @@
 def get_sr_from_wav(fname: str):
     fs = None
     if os.path.isfile(fname):
-        audio, fs = torchaudio.load(fname)
+        audio_type = os.path.basename(fname).split(".")[1].lower()
+        if audio_type in SUPPORT_AUDIO_TYPE_SETS:
+            if audio_type == "pcm":
+                fs = None
+            else:
+                audio, fs = torchaudio.load(fname)
         return fs
     elif os.path.isdir(fname):
         dir_files = os.listdir(fname)
@@ -347,4 +352,3 @@
         percent = 1
     res = int(50 * percent) * '#'
     print('\r[%-50s] %d%%' % (res, int(100 * percent)), end='')
-

--
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