Call Center Audio Datasets Needed English , Hindi , Spanish

@rezamahi

I have extensive experience working on large-scale speech and call-center data projects, including multilingual audio collection, transcription alignment, audio cleaning, segmentation, and dataset preparation for AI/ASR model training. I have previously handled similar datasets involving English, Hindi, and multilingual customer-service recordings for machine learning workflows. I can support your requirements for: • Agent-side audio only • WAV format (16kHz / 16-bit+) • Clean unidirectional recordings • Noise reduction and silence filtering • Transcript preparation and refinement • Metadata and timestamp alignment • QA validation for training readiness Regarding transcripts: • Transcriptions can be provided • AI-generated transcripts can be manually refined • Speaker tags and timestamps can be included • WER, diarization quality, and timestamp alignment reports can be shared where applicable I also understand the importance of privacy and compliance. Sensitive information within recordings can be de-identified using masking/redaction workflows before delivery. My experience includes: • ASR/NLP dataset preparation • Audio preprocessing and annotation • Hindi, English, and multilingual transcription projects • Large-volume dataset handling for internal AI training I can discuss available volume, language coverage, delivery structure, and timeline immediately. Ready to start as soon as requirements are finalized.

@purityk34

Hello, I’m Purity K., a 5.0-rated freelancer specializing in high-quality multilingual call center datasets. I can deliver exactly what you need: • 500 hours each of clean agent-side only audio in English, Hindi & Spanish • WAV format (16kHz, 16-bit), no background noise, minimal silence • Accurate transcriptions with speaker tags & timestamps All data is properly de-identified and ready for AI training. I provide full quality reports (WER, diarization accuracy, etc.). I have successfully supplied similar datasets before and can deliver in clear milestones with fast turnaround. Let me know if you’d like to see samples and detailed quality specs. I’m ready to start immediately. Best regards, Purity K.

@RubinTh

I have access to curated call center audio archives across all three languages you've specified and can supply agent side, unidirectional WAV recordings at 16 kHz 16-bit or higher with no background noise and minimal silence segments. To address your checklist directly: transcription text is available in human annotated format with the option for AI assisted refinement on request. Files include speaker tags, timestamp alignment, and accuracy benchmarks covering WER, diarization, and timestamp precision. English and Spanish datasets carry WER rates consistently below 5% and Hindi is verified at under 8%. Timestamp alignment tolerance sits within 200ms across all three corpora. All recordings have been through a structured de-identification process. Personal details including names, account numbers, phone numbers, and addresses have been replaced with standardised placeholders at both the audio and transcript level using a combination of automated NER tagging and human review. The dataset is cleared for internal model training use and I can provide documentation confirming data provenance, licensing scope, and de-identification methodology on request. I can share sample files across all three languages for your technical evaluation before any commitment. Prices are negotiable.