TỔNG HỢP TIẾNG VIỆT BẰNG GIẢI THUẬT TD - PSOLA

... của tổng hợp tiếng Việt, đề tài này nghiên cứu về phương pháp tổng hợp tiếng Việt bằng phương pháp ghép nối dựa trên giải thuật TD- PSOLA. TD- PSOLA là phiên bản trên miền thời gian của giả i thuật ... Tổng hợp tiếng Việt bằng giải thuật TD- PSOLA 2 Sau khi nghiên cứu về mặt lý thuyết, báo cáo này cũng trình bày việc áp dụng thuật toán để xây dựng một ứng dụng tổng hợp tiếng Việt từ ... Tổng hợp tiếng Việt bằng giải thuật TD- PSOLA 6 4.8.3. Tổng hợp từ “Xin chào” ......................................................... 81 4.8.4. Tổng hợp câu ..........................................................................82...

... NỘI -- -- - -- - -- - -- - -- - -- - -- - -- - -- - -- - -- - LUẬN VĂN THẠC SĨ KHOA HỌC XÂY DỰNG CÔNG CỤ KHẢO SÁT ẢNH HƯỞNG CỦA CÁC THAM SỐ CƠ BẢN ĐẾN CHẤT LƯỢNG TIẾNG NÓI BỘ TỔNG HỢP TIẾNG ... phần vào sự phát triển của tổng hợp tiếng Việt, đề tài này nghiên cứu phương pháp tổng hợp tiếng Việt dựa trên việc ghép nối các âm tiết cơ bản sử dụng giải thuật TD- PSOLA. Đề tài này xây dựng ... nhau trong tổng hợp tiếng nói đồng thời đưa ra đánh giá về hiệu quả c ủa các phương pháp này. • Chương III: Giải thuật TD- PSOLA. Chương này trình bày chi tiết về giải thuật PSOLA và phiên...

... Abstract: Tổng quan về tổng hợp tiếng nói và hệ thống hạn chế tài nguyên. Trình bày khái quát về tổng hợp tiếng nói và lịch sử phát triển cũng như ứng dụng của nó và một số phương pháp tổng hợp tiếng ... điệu tiếng Việt. Giới thiệu sơ lược về các hệ thống hạn chế tài nguyên. Tổng hợp tiếng nói từ văn bản và yêu cầu trên hệ thống tài nguyên hạn chế. Trình bày thành phần cơ bản của hệ tổng hợp tiếng ... chất lượng giọng tổng hợp tiếng Việt giữa chương trình demo với phiên bản VnSpeech trên WinCE và với chính hệ tổng hợp VnVoice. Keywords: Xử lý tín hiệu; Âm thanh; Tiếng Việt; Công nghệ phần...

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...

... đến nhóm thiết bị công nghiệp nh: - Máy tiện CNC- Máy hút bụi công nghiệp- Máy gia công kim loại- Máy đo độ pH- Lỡi ca đĩa, ca vòng - Các loại máy taro, máy khoan- Súng bắt vít..v v Lỡi ca ... nhập - QCV: Tổng phụ cấp chức vụ18 - QTG: Tổng phụ cấp làm thêm giờ - QBS Tổng phụ cấp bổ sungQuỹ lơng đóng bảo hiểm:QBH = LCB * HCB + 17% BHXH + 2% BHYTTrong đó: - LCB: Lơng ... việc .- Định hớng phát triển công ty- Nguyện vọng phát triển của cá nhânĐa kế hoạch đào tạo và chơng trình đào tạo với hình thức :- Tự đào tạo- Gửi đi đào tạo- Mời chuyên gia đào tạo tại công tyTổng...

... khẩu Tổng hợp I và một số giải pháp công ty đã thực hiện để đẩy mạnh xuất khẩu cà phê. Đưa ra một số giải pháp đẩy mạnh hơn nữa việc xuất khẩu cà phê của công ty cổ phần xuất nhập khẩu Tổng hợp ... khẩu cà phê của Công ty cổ phần xuất nhập khẩu Tổng hợp I. Chương 3: Giải pháp đẩy mạnh xuất khẩu cà phê của Công ty cổ phần xuất nhập khẩu Tổng hợp I. Sinh viên : ĐỖ HẰNG NGA ... trạng đẩy mạnh xuất khẩu cà phê của công ty cổ phần xuất nhập khẩu Tổng hợp I 2.1. Tổng quan về công ty cổ phần xuất nhập khẩu Tổng hợp I. 2.1.1. Quá trình hình thành và phát triển của công ty....

... tục tính un?Bài 7: Cho đa thức P(x) = x3 + ax2 + bx + c. Biết P(1) = -2 5; P(2) = -2 1; P (-3 ) = -4 1. Giải tốn bằng máy tính CaSiO – Phạm Văn Thạnh – Trường THCS Thắng Thủy Bài 10: Cho tam ... x3 + bx2 + cx + d. Biết P(1) = -1 5; P(2) = -1 5; P(3) = -9 . Tính:8.1. Các hệ số b, c, d của đa thức P(x).8.2. Tìm số dư r1 khi chia P(x) cho x – 4. Giải tốn bằng máy tính CaSiO – Phạm Văn ... x4 - 2x3 + 5x2 +(m - 3)x + 2m- 5 tại x = - 2,5 là 0,49.Bài 5) Chữ số thập phân thứ 456456 sau dấu phẩy trong phép chia 13 cho 23 là :Bài 6)Tìm giá trị lớn nhất của hàm số f(x) = -1 ,2x2...