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Paraformer語音識別熱詞定制與管理

說明

支持的領域 / 任務：audio（音頻） / asr（語音識別）

在語音識別服務中，如果您的業務領域有部分詞匯默認識別效果不夠好，可以考慮使用熱詞功能，將這些詞添加到詞表從而改善識別結果。

前提條件

已開通服務并獲得API-KEY：API-KEY的獲取與配置。
已安裝最新版SDK：安裝DashScope SDK。

熱詞

熱詞通過熱詞列表的形式在SDK中使用，熱詞列表是一個以熱詞文本為Key，熱詞權重為Value的字典。熱詞列表最大支持設置500個熱詞，熱詞文本規則如下：純中文熱詞不超過10個漢字，純英文或者中英文混合熱詞，按空格分詞后，不超過5個詞；對于熱詞權重規則如下：有效的熱詞權重取值范圍為[1, 5]和[-6, -1]區間內的整數值。如果想提高某個熱詞的識別概率，則可以設置[1, 5]范圍內的權重，權重越大概率越高；如果想降低某個熱詞的識別概率，則可以設置[-6, -1]范圍內的權重，權重越小概率越低。

熱詞管理

在Java和Python中使用AsrPhraseManager類來管理熱詞的創建，更新，刪除，查詢等功能。

導入

Python

from dashscope.audio.asr import AsrPhraseManager

Java

import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseManager;

創建熱詞

同步調用的形式提交一個創建熱詞請求。

接口

Python

def create_phrases(cls,
                   model: str,
                   phrases: Dict[str, Any],
                   training_type: str = 'compile_asr_phrase',
                   **kwargs)

Java

AsrPhraseStatusResult CreatePhrases(AsrPhraseParam param)
      throws ApiException, NoApiKeyException, InputRequiredException

參數說明

對于Java SDK，將使用一個AsrPhraseParam對象作為參數，其方法和參數如下：

參數	類型	說明
param	AsrPhraseParam	創建熱詞的配置參數，見上文關于AsrPhraseParam類型的描述，CreatePhrases調用不需要填寫pageNo和pageSize字段，但是要求添加model，phraseList字段。

對于Python SDK，其參數說明如下：

參數	類型	說明
model	str	指定的Paraformer模型名，關于如何進行模型選擇，請參考：模型概覽。
phrases	Dict[str, Any]	熱詞列表。
training_type	str	固定為compile_asr_phrase。

模型概覽

模型名	模型簡介
paraformer-realtime-v1	Paraformer中文實時語音識別模型，支持視頻直播、會議等實時場景下的語音識別。僅支持16kHz采樣率的音頻。
paraformer-realtime-8k-v1	Paraformer中文實時語音識別模型，支持8kHz電話客服等場景下的實時語音識別。
paraformer-v1	Paraformer中英文語音識別模型，支持16kHz及以上采樣率的音頻或視頻語音識別。
paraformer-8k-v1	Paraformer中文語音識別模型，支持8kHz電話語音識別。
paraformer-mtl-v1	Paraformer多語言語音識別模型，支持16kHz及以上采樣率的音頻或視頻語音識別。支持的語種/方言包括：中文普通話、中文方言（粵語、吳語、閩南語、東北話、甘肅話、貴州話、河南話、湖北話、湖南話、寧夏話、山西話、陜西話、山東話、四川話、天津話）、英語、日語、韓語、西班牙語、印尼語、法語、德語、意大利語、馬來語。

返回示例

對于Java SDK，將返回一個AsrPhraseStatusResult對象，對于Python SDK，將返回一個Dict，AsrPhraseStatusResult成員通過對應get方法獲取，成員名稱和Python SDK基本一致，僅命名方式不同（Java為駝峰式）。

{
	"status_code": 200,
	"request_id": "2b815cfe-793f-9f3c-b528-5ade0a2d498e",
	"code": null,
	"message": "",
	"output": {
		"job_id": "ft-202309261539-2af1",
		"status": "SUCCEEDED",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
		"training_type": "compile_asr_phrase",
		"create_time": "2023-09-26 15:39:07"
	},
	"usage": null,
	"job_id": "ft-202309261539-2af1",
	"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
	"finetuned_outputs": null,
	"training_type": null,
	"create_time": "2023-09-26 15:39:07",
	"output_type": null,
	"model": null
}

調用范例

Python

# coding=utf-8

import dashscope
from dashscope.audio.asr import AsrPhraseManager

dashscope.api_key='your-dashscope-api-key'

phrases = {'通義千問': 5}

result = AsrPhraseManager.create_phrases(model='paraformer-realtime-v1',
                                         phrases=phrases)
if result.output is not None and result.output['finetuned_output'] is not None:
    print('job_id:%s, finetuned_output:%s' %
          (result.output['job_id'], result.output['finetuned_output']))
else:
    print('Error: ', str(result))

Java

package com.alibaba.test;

import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseManager;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseParam;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseStatusResult;
import com.alibaba.dashscope.audio.asr.recognition.Recognition;
import com.alibaba.dashscope.audio.asr.recognition.RecognitionParam;
import com.alibaba.dashscope.utils.Constants;
import java.util.Collections;

class Test {
  
  public static void main(String[] args) {
    AsrPhraseParam param = AsrPhraseParam.builder()
            .model("your-model")
            .phraseList(Collections.singletonMap("通義千問", 5))
            .apiKey("your-dashscope-api-key")
            .build();

    AsrPhraseStatusResult createResult = null;
    try {
      createResult = AsrPhraseManager.CreatePhrases(param);
      if (createResult.getOutput() != null && createResult.getOutput().getFineTunedOutput() != null) {
        System.out.println("job_id: " + createResult.getOutput().getJobId() + ", finetuned_output: " + createResult.getOutput().getFineTunedOutput());
      } else {
        System.out.println("Error: " + createResult);
      }
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
  }
}

查詢熱詞

該接口將以同步調用的形式提交一個查詢熱詞請求。

接口

Python

def query_phrases(cls, phrase_id: str, **kwargs)

Java

AsrPhraseStatusResult QueryPhrase(AsrPhraseParam param, String phraseId)
      throws ApiException, NoApiKeyException, InputRequiredException

參數配置

對于Java SDK，將使用一個AsrPhraseParam對象作為參數，其方法和參數如下：

參數	類型	說明
param	AsrPhraseParam	創建熱詞的配置參數，見上文關于AsrPhraseParam類型的描述，對于QueryPhrase調用，不需要填phraseLIst及pageNo和pageSize字段。
phraseId	String	調用CreatePhrases，UpdatePhrases, QueryPhrase等接口返回的AsrPhraseStatusOutput對象后，通過該對象的getFineTunedOutput返回的熱詞ID，String類型。調用ListPhrases時，使用AsrPhraseStatusOutput對象的getFinetunedOutputs接口將返回所有熱詞信息的列表，然后使用AsrPhraseInfo的getFineTunedOutput即可獲取對應熱詞的熱詞ID。

對于Python SDK，參數說明如下：

參數	類型	說明
phrase_id	str	調用create_phrases，update_phrases, query_phrases等接口返回的Dict對象，通過finetuned_output訪問對應phrase_id

返回示例

{
	"status_code": 200,
	"request_id": "19ee9c5f-173b-9fed-8e61-40bc53f1eea7",
	"code": null,
	"message": "",
	"output": {
		"create_time": "2023-09-26 15:39:08",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
		"job_id": "ft-202309261539-2af1",
		"model": "paraformer-realtime-v1",
		"output_type": "custom_resource"
	},
	"usage": null,
	"job_id": "ft-202309261539-2af1",
	"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
	"finetuned_outputs": null,
	"training_type": null,
	"create_time": "2023-09-26 15:39:08",
	"output_type": "custom_resource",
	"model": "paraformer-realtime-v1"
}

調用示例

Python

# coding=utf-8

import dashscope
from dashscope.audio.asr import AsrPhraseManager

dashscope.api_key='your-dashscope-api-key'

result = AsrPhraseManager.query_phrases(phrase_id='phrase-id')
if result.output is not None:
    print('query phrases: ', result.output)
else:
    print('Error: ', str(result))

Java

package com.alibaba.test;

import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseManager;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseParam;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseStatusResult;
import com.alibaba.dashscope.audio.asr.recognition.Recognition;
import com.alibaba.dashscope.audio.asr.recognition.RecognitionParam;
import com.alibaba.dashscope.utils.Constants;

class Test {
  
  public static void main(String[] args) {
    AsrPhraseParam param = AsrPhraseParam.builder()
            .model("your-model")
            .apiKey("your-dashscope-api-key")
            .build();

    AsrPhraseStatusResult result = null;
    try {
      result = AsrPhraseManager.QueryPhrase(param, "phrase-id");
      if (result.getOutput() != null) {
        System.out.println("query phrases: " + result.getOutput());
      } else {
        System.out.println("Error: " + result);
      }
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
  }
}

更新熱詞

該接口將以同步調用的形式提交一個更新熱詞請求。

接口

Python

def update_phrases(cls,
                   model: str,
                   phrase_id: str,
                   phrases: Dict[str, Any],
                   training_type: str = 'compile_asr_phrase',
                   **kwargs)

Java

AsrPhraseStatusResult UpdatePhrases(AsrPhraseParam param, String phraseId)
      throws ApiException, NoApiKeyException, InputRequiredException

參數配置

對于Java SDK，將使用一個AsrPhraseParam對象作為參數，其方法和參數如下：

參數	類型	說明
param	AsrPhraseParam	創建熱詞的配置參數，見上文關于AsrPhraseParam類型的描述，對于UpdatePhrase調用，不需要填pageNo和pageSize字段。
phraseId	String	調用CreatePhrases，UpdatePhrases, QueryPhrase等接口返回的AsrPhraseStatusOutput對象后，通過該對象的getFineTunedOutput返回的熱詞ID，String類型。調用ListPhrases時，使用AsrPhraseStatusOutput對象的getFinetunedOutputs接口將返回所有熱詞信息的列表，然后使用AsrPhraseInfo的getFineTunedOutput即可獲取對應熱詞的熱詞ID。

對于Python SDK，其參數如下：

參數	類型	默認值	說明
model	str	-	指定用于音視頻文件轉寫的Paraformer模型名，關于如何進行模型選擇，請參考：模型概覽。
phrase_id	str	-	調用create_phrases，update_phrases, query_phrases等接口返回的Dict對象，通過finetuned_output訪問對應phrase_id。
phrases	Dict[str, Any]	-	熱詞列表，是一個Dict類型對象，其中鍵為熱詞文本，值為熱詞對應權重。對于熱詞要求請參考下方重要一欄。
training_type	str	compile_asr_phrase	固定為compile_asr_phrase

返回示例

{
	"status_code": 200,
	"request_id": "8c8d64e3-5198-9624-99cd-e9dcf7eb22f6",
	"code": null,
	"message": "",
	"output": {
		"job_id": "ft-202309261543-b0ae",
		"status": "SUCCEEDED",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
		"training_type": "compile_asr_phrase",
		"create_time": "2023-09-26 15:43:09"
	},
	"usage": null,
	"job_id": "ft-202309261543-b0ae",
	"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
	"finetuned_outputs": null,
	"training_type": null,
	"create_time": "2023-09-26 15:43:09",
	"output_type": null,
	"model": null
}

調用示例

Python

# coding=utf-8

import dashscope
from dashscope.audio.asr import AsrPhraseManager

dashscope.api_key='your-dashscope-api-key'

phrases = {'通義千問': 2}

result = AsrPhraseManager.update_phrases(model='paraformer-realtime-v1',
                                         phrase_id='phrase-id',
                                         phrases=phrases)
if result.output is not None:
    print('update phrases: ', result.output)
else:
    print('Error: ', str(result))

Java

package com.alibaba.test;

import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseManager;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseParam;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseStatusResult;
import com.alibaba.dashscope.audio.asr.recognition.Recognition;
import com.alibaba.dashscope.audio.asr.recognition.RecognitionParam;
import com.alibaba.dashscope.utils.Constants;
import import java.util.Collections;

class Test {
  
  public static void main(String[] args) {
    AsrPhraseParam param = AsrPhraseParam.builder()
      .model("your-model")
      .phraseList(Collections.singletonMap("通義千問", 2))
      .apiKey("your-dashscope-api-key")
      .build();

    AsrPhraseStatusResult result = null;
    try {
      result = AsrPhraseManager.UpdatePhrases(param, "phrase-id");
      if (result.getOutput() != null) {
        System.out.println("update phrases: " + result.getOutput());
      } else {
        System.out.println("err: " + result);
      }
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
  }
}

刪除熱詞

該接口將以同步調用的形式提交一個熱詞刪除請求。

接口

Python

def delete_phrases(cls, phrase_id: str,
                   **kwargs)

Java

AsrPhraseStatusResult DeletePhrase(AsrPhraseParam param, String phraseId)
      throws ApiException, NoApiKeyException, InputRequiredException

參數配置

對于Java SDK，將使用一個AsrPhraseParam對象作為參數，其方法和參數如下：

參數	類型	說明
param	AsrPhraseParam	創建熱詞的配置參數，見上文關于AsrPhraseParam類型的描述，對于DeletePhrase調用，不需要填phraseList, pageNo和pageSize字段。
phraseId	String	調用CreatePhrases，UpdatePhrases, QueryPhrase等接口返回的AsrPhraseStatusOutput對象后，通過該對象的getFineTunedOutput返回的熱詞ID，String類型。調用ListPhrases時，使用AsrPhraseStatusOutput對象的getFinetunedOutputs接口將返回所有熱詞信息的列表，然后使用AsrPhraseInfo的getFineTunedOutput即可獲取對應熱詞的熱詞ID。

對于Python SDK，其參數如下：

參數	類型	默認值	說明
phrase_id	str	-	調用create_phrases，update_phrases, query_phrases等接口返回的Dict對象，通過finetuned_output訪問對應phrase_id。

返回示例

{
	"status_code": 200,
	"request_id": "00bb0287-2593-94a3-8e21-93c90f5e9dd8",
	"code": null,
	"message": "",
	"output": {
		"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1"
	},
	"usage": null,
	"job_id": null,
	"finetuned_output": "paraformer-realtime-v1-ft-202309261539-2af1",
	"finetuned_outputs": null,
	"training_type": null,
	"create_time": null,
	"output_type": null,
	"model": null
}

調用示例

Python

# coding=utf-8

import dashscope
from dashscope.audio.asr import AsrPhraseManager

dashscope.api_key='your-dashscope-api-key'

result = AsrPhraseManager.delete_phrases(phrase_id='phrase-id')
if result.output is not None:
    print('delete phrases: ', result.output)
else:
    print('Error: ', str(result))

Java

package com.alibaba.test;

import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseManager;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseParam;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseStatusResult;
import com.alibaba.dashscope.audio.asr.recognition.Recognition;
import com.alibaba.dashscope.audio.asr.recognition.RecognitionParam;
import com.alibaba.dashscope.utils.Constants;

class Test {
  
  public static void main(String[] args) {
    AsrPhraseParam param = AsrPhraseParam.builder()
            .model("your-model")
            .apiKey("your-dashscope-api-key")
            .build();

    AsrPhraseStatusResult result = null;
    try {
      result = AsrPhraseManager.DeletePhrase(param, "phrase-id");
      if (result.getOutput() != null) {
        System.out.println("delete phrases: " + result.getOutput());
      } else {
        System.out.println("Error: " + result);
      }
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
  }
}

列表形式返回所有熱詞

該接口將以同步調用的形式提交一個返回所有熱詞的請求。

接口

Python

def list_phrases(cls,
                 page: int = 1,
                 page_size: int = 10,
                 **kwargs)

Java

AsrPhraseStatusResult ListPhrases(AsrPhraseParam param)
      throws ApiException, NoApiKeyException, InputRequiredException

參數配置

對于Java SDK，將使用一個AsrPhraseParam對象作為參數，其方法和參數如下：

參數	類型	說明
param	AsrPhraseParam	創建熱詞的配置參數，見上文關于AsrPhraseParam類型的描述，對于ListPhrases調用，不需要填phraseList字段。
phraseId	String	調用CreatePhrases，UpdatePhrases, QueryPhrase等接口返回的AsrPhraseStatusOutput對象后，通過該對象的getFineTunedOutput返回的熱詞ID，String類型。調用ListPhrases時，使用AsrPhraseStatusOutput對象的getFinetunedOutputs接口將返回所有熱詞信息的列表，然后使用AsrPhraseInfo的getFineTunedOutput即可獲取對應熱詞的熱詞ID。

對于Python SDK，其參數如下：

參數	類型	默認值	說明
page	int	1	當請求是list_phrases有效，用于查詢第幾頁列表，默認1
page_size	int	10	當請求是list_phrases有效，用于設置分頁大小，默認10

返回示例

{
	"status_code": 200,
	"request_id": "95f969ef-bcbc-9bb5-b05d-4caed9326409",
	"code": null,
	"message": "",
	"output": {
		"page_no": 1,
		"page_size": 5,
		"total": 61,
		"finetuned_outputs": [{
			"create_time": "2023-09-26 15:32:20",
			"finetuned_output": "paraformer-realtime-v1-ft-202309261532-93bf",
			"job_id": "ft-202309261532-93bf",
			"model": "paraformer-realtime-v1",
			"output_type": "custom_resource"
		}, {
			"create_time": "2023-09-26 15:32:18",
			"finetuned_output": "paraformer-realtime-v1-ft-202309261532-7b51",
			"job_id": "ft-202309261532-7b51",
			"model": "paraformer-realtime-v1",
			"output_type": "custom_resource"
		}, {
			"create_time": "2023-09-26 15:32:17",
			"finetuned_output": "paraformer-realtime-v1-ft-202309261532-8bbc",
			"job_id": "ft-202309261532-cef0",
			"model": "paraformer-realtime-v1",
			"output_type": "custom_resource"
		}, {
			"create_time": "2023-09-26 15:32:16",
			"finetuned_output": "paraformer-realtime-v1-ft-202309261532-fc6a",
			"job_id": "ft-202309261532-fc6a",
			"model": "paraformer-realtime-v1",
			"output_type": "custom_resource"
		}, {
			"create_time": "2023-09-26 15:31:56",
			"finetuned_output": "paraformer-realtime-v1-ft-202309261531-e92d",
			"job_id": "ft-202309261531-e92d",
			"model": "paraformer-realtime-v1",
			"output_type": "custom_resource"
		}]
	},
	"usage": null,
	"job_id": null,
	"finetuned_output": null,
	"finetuned_outputs": [{
		"create_time": "2023-09-26 15:32:20",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261532-93bf",
		"job_id": "ft-202309261532-93bf",
		"model": "paraformer-realtime-v1",
		"output_type": "custom_resource"
	}, {
		"create_time": "2023-09-26 15:32:18",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261532-7b51",
		"job_id": "ft-202309261532-7b51",
		"model": "paraformer-realtime-v1",
		"output_type": "custom_resource"
	}, {
		"create_time": "2023-09-26 15:32:17",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261532-8bbc",
		"job_id": "ft-202309261532-cef0",
		"model": "paraformer-realtime-v1",
		"output_type": "custom_resource"
	}, {
		"create_time": "2023-09-26 15:32:16",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261532-fc6a",
		"job_id": "ft-202309261532-fc6a",
		"model": "paraformer-realtime-v1",
		"output_type": "custom_resource"
	}, {
		"create_time": "2023-09-26 15:31:56",
		"finetuned_output": "paraformer-realtime-v1-ft-202309261531-e92d",
		"job_id": "ft-202309261531-e92d",
		"model": "paraformer-realtime-v1",
		"output_type": "custom_resource"
	}],
	"training_type": null,
	"create_time": null,
	"output_type": null,
	"model": null
}

調用示例

Python

# coding=utf-8

import dashscope
from dashscope.audio.asr import AsrPhraseManager

dashscope.api_key='your-dashscope-api-key'

result = AsrPhraseManager.list_phrases()   
if result.output is not None:
    print('list phrases: ', result.output)
else:
    print('Error: ', str(result))

Java

package com.alibaba.test;

import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseManager;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseParam;
import com.alibaba.dashscope.audio.asr.phrase.AsrPhraseStatusResult;
import com.alibaba.dashscope.audio.asr.recognition.Recognition;
import com.alibaba.dashscope.audio.asr.recognition.RecognitionParam;
import com.alibaba.dashscope.utils.Constants;

class Test {
  
  public static void main(String[] args) {
    AsrPhraseParam param = AsrPhraseParam.builder()
            .model("your-model")
            .apiKey("your-dashscope-api-key")
            .build();

    AsrPhraseStatusResult result = null;
    try {
      result = AsrPhraseManager.ListPhrases(param);
      if (result.getOutput() != null) {
        System.out.println("list phrases: " + result.getOutput());
      } else {
        System.out.println("Error: " + result);
      }
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
  }
}

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paraformer熱詞

Paraformer語音識別熱詞定制與管理

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熱詞

熱詞管理

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