Skip to content

Commit 3eaed1e

Browse files
committed
tips
1 parent cd1a845 commit 3eaed1e

File tree

2 files changed

+6
-4
lines changed

2 files changed

+6
-4
lines changed

articles/cognitive-services/Speech-Service/call-center-overview.md

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -22,6 +22,8 @@ Some example scenarios for the implementation of Azure Cognitive Services in cal
2222

2323
> [!TIP]
2424
> Try the [Post-call transcription and analytics quickstart](/azure/cognitive-services/speech-service/call-center-quickstart).
25+
>
26+
> To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).
2527
2628
## Cognitive Services features for call centers
2729

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/intro.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,10 @@ ms.date: 09/18/2022
66
ms.author: eur
77
---
88

9-
In this C# quickstart, you perform sentiment analysis and conversation summarization of [call center](/azure/cognitive-services/speech-service/call-center-overview) transcriptions. The sample will automatically identify, categorize, and redact sensitive information.
9+
In this C# quickstart, you perform sentiment analysis and conversation summarization of [call center](/azure/cognitive-services/speech-service/call-center-overview) transcriptions. The sample will automatically identify, categorize, and redact sensitive information. This is a cross-service scenario that uses features of the [Azure Cognitive Speech](/azure/cognitive-services/speech-service/) and [Azure Cognitive Language](/azure/cognitive-services/language-service/) services.
10+
11+
> [!TIP]
12+
> To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).
1013
1114
The following Azure Cognitive Service for Speech features are used:
1215
- [Batch transcription](/azure/cognitive-services/speech-service/batch-transcription): Submit a batch of audio files for transcription.
@@ -17,6 +20,3 @@ The Language service offers the following features that are used in the quicksta
1720
- [Personally Identifiable Information (PII) extraction and redaction](/azure/cognitive-services/language-service/personally-identifiable-information/how-to-call-for-conversations): Identify, categorize, and redact sensitive information in conversation transcription.
1821
- [Conversation summarization](/azure/cognitive-services/language-service/summarization/overview?tabs=conversation-summarization): Summarize in abstract text what each conversation participant said about the issues and resolutions. For example, a call center can group product issues that have a high volume.
1922
- [Sentiment analysis and opinion mining](/azure/cognitive-services/language-service/sentiment-opinion-mining/overview): Analyze transcriptions and associate positive, neutral, or negative sentiment at the utterance and conversation-level.
20-
21-
> [!TIP]
22-
> To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).

0 commit comments

Comments
 (0)