From b15db52e4e67da8a133a67e8ffa415386de48b40 Mon Sep 17 00:00:00 2001
From: zhuyunfeng <10596244@qq.com>
Date: 星期二, 09 五月 2023 23:03:15 +0800
Subject: [PATCH] Add contributor
---
funasr/runtime/python/onnxruntime/funasr_onnx/punc_bin.py | 18 +++++++++++++++---
1 files changed, 15 insertions(+), 3 deletions(-)
diff --git a/funasr/runtime/python/onnxruntime/funasr_onnx/punc_bin.py b/funasr/runtime/python/onnxruntime/funasr_onnx/punc_bin.py
index 0eb764f..6fd01e4 100644
--- a/funasr/runtime/python/onnxruntime/funasr_onnx/punc_bin.py
+++ b/funasr/runtime/python/onnxruntime/funasr_onnx/punc_bin.py
@@ -1,4 +1,6 @@
# -*- encoding: utf-8 -*-
+# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+# MIT License (https://opensource.org/licenses/MIT)
import os.path
from pathlib import Path
@@ -13,6 +15,11 @@
class CT_Transformer():
+ """
+ Author: Speech Lab of DAMO Academy, Alibaba Group
+ CT-Transformer: Controllable time-delay transformer for real-time punctuation prediction and disfluency detection
+ https://arxiv.org/pdf/2003.01309.pdf
+ """
def __init__(self, model_dir: Union[str, Path] = None,
batch_size: int = 1,
device_id: Union[str, int] = "-1",
@@ -57,7 +64,7 @@
mini_sentence = mini_sentences[mini_sentence_i]
mini_sentence_id = mini_sentences_id[mini_sentence_i]
mini_sentence = cache_sent + mini_sentence
- mini_sentence_id = np.array(cache_sent_id + mini_sentence_id, dtype='int64')
+ mini_sentence_id = np.array(cache_sent_id + mini_sentence_id, dtype='int32')
data = {
"text": mini_sentence_id[None,:],
"text_lengths": np.array([len(mini_sentence_id)], dtype='int32'),
@@ -119,6 +126,11 @@
class CT_Transformer_VadRealtime(CT_Transformer):
+ """
+ Author: Speech Lab of DAMO Academy, Alibaba Group
+ CT-Transformer: Controllable time-delay transformer for real-time punctuation prediction and disfluency detection
+ https://arxiv.org/pdf/2003.01309.pdf
+ """
def __init__(self, model_dir: Union[str, Path] = None,
batch_size: int = 1,
device_id: Union[str, int] = "-1",
@@ -136,7 +148,7 @@
else:
precache = ""
cache = []
- full_text = precache + text
+ full_text = precache + " " + text
split_text = code_mix_split_words(full_text)
split_text_id = self.converter.tokens2ids(split_text)
mini_sentences = split_to_mini_sentence(split_text, split_size)
@@ -154,7 +166,7 @@
mini_sentence = mini_sentences[mini_sentence_i]
mini_sentence_id = mini_sentences_id[mini_sentence_i]
mini_sentence = cache_sent + mini_sentence
- mini_sentence_id = np.concatenate((cache_sent_id, mini_sentence_id), axis=0)
+ mini_sentence_id = np.concatenate((cache_sent_id, mini_sentence_id), axis=0,dtype='int32')
text_length = len(mini_sentence_id)
data = {
"input": mini_sentence_id[None,:],
--
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