Fix typos in multiple files (#4032)

Author: co63oc

README.md

@@ -173,7 +173,7 @@ Via the easy-to-use, efficient, flexible and scalable implementation, our vision
 - 🏆  **Streaming ASR and TTS System**: we provide production ready streaming asr and streaming tts system.
 - 💯  **Rule-based Chinese frontend**: our frontend contains Text Normalization and Grapheme-to-Phoneme (G2P, including Polyphone and Tone Sandhi). Moreover, we use self-defined linguistic rules to adapt Chinese context.
 - 📦  **Varieties of Functions that Vitalize both Industrial and Academia**:
-  - 🛎️  *Implementation of critical audio tasks*: this toolkit contains audio functions like  Automatic Speech Recognition, Text-to-Speech Synthesis, Speaker Verfication, KeyWord Spotting, Audio Classification, and Speech Translation, etc.
+  - 🛎️  *Implementation of critical audio tasks*: this toolkit contains audio functions like  Automatic Speech Recognition, Text-to-Speech Synthesis, Speaker Verification, KeyWord Spotting, Audio Classification, and Speech Translation, etc.
   - 🔬  *Integration of mainstream models and datasets*: the toolkit implements modules that participate in the whole pipeline of the speech tasks, and uses mainstream datasets like LibriSpeech, LJSpeech, AIShell, CSMSC, etc. See also [model list](#model-list) for more details.
   - 🧩  *Cascaded models application*: as an extension of the typical traditional audio tasks, we combine the workflows of the aforementioned tasks with other fields like Natural language processing (NLP) and Computer Vision (CV).
 
@@ -1025,7 +1025,7 @@ You are warmly welcome to submit questions in [discussions](https://github.com/P
 - Many thanks to [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) for developing a rasa chatbot,which is able to speak and listen thanks to PaddleSpeech.
 - Many thanks to [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) for the C++ inference implementation of PaddleSpeech ASR.
 - Many thanks to [heyudage](https://github.com/heyudage)/[VoiceTyping](https://github.com/heyudage/VoiceTyping) for the real-time voice typing tool implementation of PaddleSpeech ASR streaming services.
-- Many thanks to [EscaticZheng](https://github.com/EscaticZheng)/[ps3.9wheel-install](https://github.com/EscaticZheng/ps3.9wheel-install) for the python3.9 prebuilt wheel for PaddleSpeech installation in Windows without Viusal Studio.
+- Many thanks to [EscaticZheng](https://github.com/EscaticZheng)/[ps3.9wheel-install](https://github.com/EscaticZheng/ps3.9wheel-install) for the python3.9 prebuilt wheel for PaddleSpeech installation in Windows without Visual Studio.
 Besides, PaddleSpeech depends on a lot of open source repositories. See [references](./docs/source/reference.md) for more information.
 - Many thanks to [chinobing](https://github.com/chinobing)/[FastAPI-PaddleSpeech-Audio-To-Text](https://github.com/chinobing/FastAPI-PaddleSpeech-Audio-To-Text) for converting audio to text based on FastAPI and PaddleSpeech.
 - Many thanks to [MistEO](https://github.com/MistEO)/[Pallas-Bot](https://github.com/MistEO/Pallas-Bot) for QQ bot based on PaddleSpeech TTS.

audio/paddleaudio/datasets/dataset.py

@@ -43,7 +43,7 @@ def __init__(self,
                  sample_rate: int=None,
                  **kwargs):
         """
-        Ags:
+        Args:
             files (:obj:`List[str]`): A list of absolute path of audio files.
             labels (:obj:`List[int]`): Labels of audio files.
             feat_type (:obj:`str`, `optional`, defaults to `raw`):

audio/paddleaudio/datasets/esc50.py

@@ -111,7 +111,7 @@ def __init__(self,
                  feat_type: str='raw',
                  **kwargs):
         """
-        Ags:
+        Args:
             mode (:obj:`str`, `optional`, defaults to `train`):
                 It identifies the dataset mode (train or dev).
             split (:obj:`int`, `optional`, defaults to 1):

audio/paddleaudio/datasets/gtzan.py

@@ -57,7 +57,7 @@ def __init__(self,
                  feat_type='raw',
                  **kwargs):
         """
-        Ags:
+        Args:
             mode (:obj:`str`, `optional`, defaults to `train`):
                 It identifies the dataset mode (train or dev).
             seed (:obj:`int`, `optional`, defaults to 0):

audio/paddleaudio/datasets/tess.py

@@ -66,7 +66,7 @@ def __init__(self,
                  feat_type='raw',
                  **kwargs):
         """
-        Ags:
+        Args:
             mode (:obj:`str`, `optional`, defaults to `train`):
                 It identifies the dataset mode (train or dev).
             seed (:obj:`int`, `optional`, defaults to 0):

audio/paddleaudio/datasets/urban_sound.py

@@ -62,7 +62,7 @@ def __init__(self,
         super(UrbanSound8K, self).__init__(
             files=files, labels=labels, feat_type=feat_type, **kwargs)
         """
-        Ags:
+        Args:
             mode (:obj:`str`, `optional`, defaults to `train`):
                 It identifies the dataset mode (train or dev).
             split (:obj:`int`, `optional`, defaults to 1):

audio/tests/backends/sox_io/save_test.py

@@ -41,7 +41,7 @@ def assert_save_consistency(
             test_mode: str="path", ):
         """`save` function produces file that is comparable with `sox` command
 
-        To compare that the file produced by `save` function agains the file produced by
+        To compare that the file produced by `save` function against the file produced by
         the equivalent `sox` command, we need to load both files.
         But there are many formats that cannot be opened with common Python modules (like
         SciPy).

demos/TTSAndroid/README.md

@@ -8,7 +8,7 @@
 
 ### 环境准备
 
-1. 在本地环境安装好 Android Studio 工具，详细安装方法请见 [Android Stuido 官网](https://developer.android.com/studio)。
+1. 在本地环境安装好 Android Studio 工具，详细安装方法请见 [Android Studio 官网](https://developer.android.com/studio)。
 2. 准备一部 Android 手机，并开启 USB 调试模式。开启方法: `手机设置 -> 查找开发者选项 -> 打开开发者选项和 USB 调试模式`。
 
 **注意**：
@@ -20,10 +20,10 @@
 2. 手机连接电脑，打开 USB 调试和文件传输模式，并在 Android Studio 上连接自己的手机设备（手机需要开启允许从 USB 安装软件权限）。
 
 **注意：**
->1. 如果您在导入项目、编译或者运行过程中遇到 NDK 配置错误的提示，请打开 `File > Project Structure > SDK Location`，修改 `Andriod NDK location` 为您本机配置的 NDK 所在路径。
->2. 如果您是通过 Andriod Studio 的 SDK Tools 下载的 NDK (见本章节"环境准备")，可以直接点击下拉框选择默认路径。
+>1. 如果您在导入项目、编译或者运行过程中遇到 NDK 配置错误的提示，请打开 `File > Project Structure > SDK Location`，修改 `Android NDK location` 为您本机配置的 NDK 所在路径。
+>2. 如果您是通过 Android Studio 的 SDK Tools 下载的 NDK (见本章节"环境准备")，可以直接点击下拉框选择默认路径。
 >3. 还有一种 NDK 配置方法，你可以在 `TTSAndroid/local.properties` 文件中手动添加 NDK 路径配置 `nkd.dir=/root/android-ndk-r20b`
->4. 如果以上步骤仍旧无法解决 NDK 配置错误，请尝试根据 Andriod Studio 官方文档中的[更新 Android Gradle 插件](https://developer.android.com/studio/releases/gradle-plugin?hl=zh-cn#updating-plugin)章节，尝试更新 Android Gradle plugin 版本。
+>4. 如果以上步骤仍旧无法解决 NDK 配置错误，请尝试根据 Android Studio 官方文档中的[更新 Android Gradle 插件](https://developer.android.com/studio/releases/gradle-plugin?hl=zh-cn#updating-plugin)章节，尝试更新 Android Gradle plugin 版本。
 
 3. 点击 Run 按钮，自动编译 APP 并安装到手机。(该过程会自动下载 Paddle Lite 预测库和模型，需要联网)
    成功后效果如下：

demos/audio_searching/README.md

@@ -217,7 +217,7 @@ Then to start the system server, and it provides HTTP backend services.
 - memory：132G
 
 dataset：
-- CN-Celeb, train size 650,000, test size 10,000, dimention 192, distance L2
+- CN-Celeb, train size 650,000, test size 10,000, dimension 192, distance L2
 
 recall and elapsed time statistics are shown in the following figure：
 
@@ -226,7 +226,7 @@ recall and elapsed time statistics are shown in the following figure：
 
 The retrieval framework based on Milvus takes about 2.9 milliseconds to retrieve on the premise of 90% recall rate, and it takes about 500 milliseconds for feature extraction (testing audio takes about 5 seconds), that is, a single audio test takes about 503 milliseconds in total, which can meet most application scenarios.
 
-* compute embeding takes 500 ms
+* compute embedding takes 500 ms
 * retrieval with cosine takes 2.9 ms
 * total takes 503 ms
 

demos/speech_server/README.md

@@ -42,7 +42,7 @@ Currently the engine type supports two forms: python and inference (Paddle Infer
   paddlespeech_server start --help
   ```
   Arguments:
-  - `config_file`: yaml file of the app, defalut: ./conf/application.yaml
+  - `config_file`: yaml file of the app, default: ./conf/application.yaml
   - `log_file`: log file. Default: ./log/paddlespeech.log
 
   Output: